Bibliographic record
Abstract
In November 2012, the newly created Open Science Collaboration published a brief article announcing a multi-year effort to "estimate the reproducibility of psychological science." The collaboration was directed by Brian Nosek of the University of Virginia and would eventually involve over 250 co-authors. According to the collaboration, reproducibility was one of, if not the single most defining feature of the social endeavor known as "science." "Other types of belief," the authors write, "depend on the authority and motivations of the source; beliefs in science do not." The ability to reproduce scientific results across time and space -- the ability to have results be independent of the individuals involved -- is what the authors argued makes science science. And yet the eventual findings of the reproducibility project showed a remarkable reproductive failure. Over half of all studies failed to indicate similar effects upon replication. The very value upon which science was supposed to be founded appeared to be an exception rather than a norm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.170 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.019 | 0.024 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.014 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".