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Record W2993640618 · doi:10.22148/001c.11826

Do we know what we are doing?

2020· article· en· W2993640618 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Cultural Analytics · 2020
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsMcGill University
Fundersnot available
KeywordsOpen scienceValue (mathematics)Norm (philosophy)Psychological scienceReplication (statistics)PsychologySpace (punctuation)Social psychologyEpistemologySociologyPolitical scienceComputer scienceLawMathematicsStatistics

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.619
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.150
GPT teacher head0.446
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it