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Record W1996867325 · doi:10.3138/jsp.46.1.004

From Book Publishers to Authors: Information Transparency in Web Sites

2014· article· en· W1996867325 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.
venuePublished in a venue whose home country is Canada.
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 Scholarly Publishing · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychology Research and Bibliometrics
Canadian institutionsnot available
FundersConsejo Superior de Investigaciones CientíficasUniversity of Toronto
KeywordsPublishingTransparency (behavior)Scholarly communicationLibrary scienceRelation (database)World Wide WebPolitical scienceSociologyComputer scienceLaw

Abstract

fetched live from OpenAlex

The publishing processes and standards in scholarly journals are much better known than those of the publishers of scholarly books. Since scholarly books are key channels of communication and academic assessment in the humanities and social sciences, information provided by publishers concerning their publishing processes is very important both for authors and panelists (at funding and evaluation agencies). This article focuses on the analysis of the transparency of publishers in relation to the information they offer to authors. The main objective is to identify and analyze the publishing practices of two hundred scholarly book publishers of social sciences and humanities with respect to the information that they provide on their Web sites about their publishing processes. A lack of information on these Web sites is the main finding of the study. Among Spanish publishers, only 11.2 per cent explicitly state that they have a review system by experts. At the international level, the situation improves, but the shortcomings are still evident. Some guidelines for publishers are outlined and proposed.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScholarly communication
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptScholarly communication
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalmedium
models splitAgreement compares identical category sets and study designs across arms.

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)0.010
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0130.008
Science and technology studies0.0000.000
Scholarly communication0.0280.180
Open science0.0020.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.057
GPT teacher head0.349
Teacher spread0.293 · 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