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Record W2902667247 · doi:10.7710/2162-3309.2253

Confused about copyright? Assessing Researchers’ Comprehension of Copyright Transfer Agreements

2018· article· en· W2902667247 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.

Bibliographic record

VenueJournal of Librarianship and Scholarly Communication · 2018
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsPublishingSubject (documents)ComprehensionPublicationProbit modelScopusConfusionPsychologyPolitical sciencePublic relationsComputer scienceLibrary scienceEconometricsEconomicsLawMEDLINE

Abstract

fetched live from OpenAlex

INTRODUCTION Academic authors’ confusion about copyright and publisher policy is often cited as a challenge to their effective sharing of their own published research, from having a chilling effect on selfarchiving in institutional and subject repositories, to leading to the posting of versions of articles on social networking sites in contravention of publisher policy and beyond. This study seeks to determine the extent to which authors understand the terms of these policies as expressed in publishers’ copyright transfer agreements (CTAs), taking into account such factors as the authors’ disciplines and publishing experience, as well as the wording and structure of these agreements. METHODS We distributed an online survey experiment to corresponding authors of academic research articles indexed in the Scopus database. Participants were randomly assigned to read one of two copyright transfer agreements and were subsequently asked to answer a series of questions about these agreements to determine their level of comprehension. The survey was sent to 3,154 participants, with 122 responding, representing a 4% response rate. Basic demographic information as well as information about participants’ previous publishing experience was also collected. We analyzed the survey data using Ordinary Least Squared (OLS) regressions and probit regressions. RESULTS AND DISCUSSION Participants demonstrated a low rate of understanding of the terms of the CTAs they were asked to read. Participants averaged a score of 33% on the survey, indicating a low comprehension level of author rights. This figure did not vary significantly, regardless of the respondents’ discipline, time in academia, level of experience with publishing, or whether or not they had published previously with the publisher whose CTA they were administered. Results also indicated that participants did equally poorly on the survey regardless of which of the two CTAs they received. However, academic authors do appear to have a greater chance of understanding a CTA when a specific activity is explicitly outlined in the text of the agreement.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0080.114
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.220
GPT teacher head0.390
Teacher spread0.170 · 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