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Record W4251366082 · doi:10.1111/apce.12184

Issue Information

2018· paratext· en· W4251366082 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnnals of Public and Cooperative Economics · 2018
Typeparatext
Languageen
FieldSocial Sciences
TopicMethodology and Impact of Social Science Research
Canadian institutionsnot available
FundersWageningen University and ResearchUniversité de ParisUniversidad de ZaragozaUniversité Paris DiderotToyo UniversityUniversidad de CantabriaUniversidad de Buenos AiresYale UniversityConcordia UniversityLondon School of Economics and Political ScienceEidgenössische Technische Hochschule ZürichUniversity of LeedsUniversité de ToulouseUniversity of LimerickBrown UniversityUniversity of East AngliaJohns Hopkins UniversityNational Research University Higher School of EconomicsKungliga Tekniska HögskolanUniversité de LiègeGeorge Washington University
KeywordsAnnalsCitationComputer scienceLibrary scienceWorld Wide WebInformation retrievalHistoryClassics

Abstract

fetched live from OpenAlex

The objective of the Annals is the publication of high quality theoretical, empirical and experimental articles addressing academics and experts in such fields as: non-profit organizations, cooperatives, social enterprises, public enterprises, public-private enterprises, employee participation, public services provision and regulation, both in developed and developing countries.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.225
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.003

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 head0.262
GPT teacher head0.467
Teacher spread0.205 · 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