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Record W2918023730 · doi:10.5334/kula.43

The Initial Impact of the Open Scholarship Policy Observatory

2019· article· en· W2918023730 on OpenAlexaffvenueabout
Sarah Milligan, Kimberly Silk, Alyssa Arbuckle, Ray Siemens

Bibliographic record

VenueKULA knowledge creation dissemination and preservation studies · 2019
Typearticle
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsScholarshipGeneral partnershipObservatoryPolitical scienceDigital scholarshipOrder (exchange)Public relationsPublic administrationBusinessLibrary scienceComputer science

Abstract

fetched live from OpenAlex

In September 2016, members of the Implementing New Knowledge Environments (INKE) Partnership—a broad, diverse group working to advance understanding of, and resolve critical issues in, the production, distribution and widespread engagement of digital scholarship in Canada and beyond—met to discuss future directions and focus areas. One of the resulting initiatives is the Open Scholarship Policy Observatory. The Open Scholarship Policy Observatory tracks national and international policies and policy changes in order to assist INKE partners with developing timely and responsive policies. This paper describes the development of the initiative, and reports on the initial impacts the project has had to date.

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.

How this classification was reachedexpand

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)0.013
metaresearch head score (Gemma)0.058
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.058
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.033
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0000.000
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 head0.671
GPT teacher head0.678
Teacher spread0.006 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2019
Admission routes3
Has abstractyes

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