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Record W3207534801 · doi:10.1002/pra2.508

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2021· article· en· W3207534801 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

VenueProceedings of the Association for Information Science and Technology · 2021
Typearticle
Languageen
FieldComputer Science
TopicScientific Research and Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBATESTheme (computing)Perspective (graphical)Information scienceEvent (particle physics)IndigenousSociologyLibrary scienceMedia studiesVisual artsEngineeringArtWorld Wide WebComputer scienceEcology

Abstract

fetched live from OpenAlex

Abstract This panel engages conference attendees in the history and foundations of information science and provides an opportunity to reflect upon our field's current and future identity(s). It enacts the following scenario: At an orientation event for an information science program a spokesperson gives incoming students a brief address on the theme, “Welcome to information science.” Six imaginative but authentic versions of that talk are offered here. To showcase the variety of approaches to information science across the past century, each disquisition is inspired by the work of one luminary, namely: Paul Otlet, S. R. Ranganathan, Jesse H. Shera, Elfreda Chatman, and Marcia J. Bates. In an effort to encourage a more spacious information science, an indigenous perspective on ways of knowing is also included. Attendees to this session will time‐travel across almost 100 years of information science history and ultimately rest in the reality of a multi‐perspective discipline.

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)0.004
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.014
Science and technology studies0.0010.001
Scholarly communication0.0010.014
Open science0.0030.001
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 head0.008
GPT teacher head0.247
Teacher spread0.239 · 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