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Record W4387397672 · doi:10.1002/jaba.933

Issue Information

2023· paratext· en· W4387397672 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

VenueJournal of Applied Behavior Analysis · 2023
Typeparatext
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
FundersState University of New York Upstate Medical UniversityUniversity of Massachusetts AmherstMonash UniversityUniversity of GalwayFlorida Institute of TechnologyMarquette UniversityUniversitat de BarcelonaUniversity of Nevada, RenoIllinois State UniversityNational University of IrelandBerry CollegeUniversity of South FloridaJames Madison UniversityTexas State UniversityVanderbilt UniversityDrexel UniversityGeorgia State UniversityTexas Christian UniversityLouisiana State UniversityUniversity of PittsburghNorthern Illinois UniversityJohns Hopkins UniversityMississippi State UniversityUniversity of OregonUniversity of South CarolinaUniversity of Nebraska Medical CenterState University of New YorkUniversity of Illinois at Urbana-ChampaignAuburn UniversityUniversity of MinnesotaLindenwood UniversityWestern New England UniversityUniversity of Wisconsin-MadisonBrock UniversityRowan UniversityUniversity of Pittsburgh at JohnstownUniversity of MiamiUniversity of North TexasGrand Valley State UniversityWest Virginia UniversityUtah State UniversityEastern Michigan UniversityPurdue University
KeywordsCitationComputer scienceInformation retrievalPsychologyWorld Wide WebInternet privacy

Abstract

fetched live from OpenAlex

Wiley's Corporate Citizenship initiative seeks to address the environmental, social, economic, and ethical challenges faced in our business and which are important to our diverse stakeholder groups.Since launching the initiative, we have focused on sharing our content with those in need, enhancing community philanthropy, reducing our carbon impact, creating global guidelines and best practices for paper use, establishing a vendor code of ethics, and engaging our colleagues and other stakeholders in our efforts.Follow our progress at www.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical · Consensus signal: none
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.019

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 head0.023
GPT teacher head0.288
Teacher spread0.265 · 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