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Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review. How this is built →

Research trends

A weekly view of what has entered The Commonplace. These are ingestion trends, not claims about the whole research literature.

825
papers added in 12 weeks
7055
claims extracted
194
causal-design papers
Weekly count of papers, extracted claims, causal-design papers, and average evidence weight.
Week New papers Claims Causal papers Average evidence weight
2026-W16 33 276 4 0.203
2026-W17 81 696 10 0.182
2026-W18 73 596 16 0.241
2026-W19 78 668 23 0.25
2026-W20 92 781 22 0.242
2026-W21 102 883 20 0.213
2026-W22 64 529 17 0.257
2026-W23 58 513 12 0.225
2026-W24 61 539 16 0.259
2026-W25 101 849 27 0.252
2026-W26 8 59 4 0.37
2026-W27 32 288 8 0.258
2026-W28 42 378 15 0.303

Fastest-moving outcome categories

Categories are ranked by distinct recent papers, then extracted claims. Use this as a signal of where new evidence is accumulating, not as a measure of importance.

Top outcome categories among recently added papers.
Outcome category Recent papers Claims Average evidence weight
Governance & Regulation 348 812 0.111
Technology Adoption Rate 293 640 0.244
Organizational Efficiency 286 657 0.197
Output Quality 178 447 0.289
Decision Quality 147 337 0.245
Task Allocation 144 267 0.218
Research Productivity 130 343 0.215
Firm Productivity 110 233 0.269
AI Safety & Ethics 107 248 0.142
Task Completion Time 104 147 0.31

How to read this page

Counts are based on papers when they were fetched into the knowledge base. They can move when sources backfill older papers, when low-relevance papers are purged, or when claim extraction is improved.