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Record W3015435398 · doi:10.5860/jifp.v4i3.7129

Intellectual Freedom and Inclusivity: Opposites or Partners?

2020· article· en· W3015435398 on OpenAlexaboutno aff
Deborah A. Thomas

Bibliographic record

VenueJournal of Intellectual Freedom and Privacy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic Freedom and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsFreedom of expressionIntellectual freedomEvent (particle physics)Freedom of informationSociologyExpression (computer science)LawHuman rightsPolitical scienceMedia studiesCensorshipComputer science

Abstract

fetched live from OpenAlex

A commentary on a recent controversy in Vancouver, British Columbia, Canada, when a speaker considered to be transphobic was allowed to book a meeting room at Vancouver Public Library. The library defended the right of the speaker to her freedom of expression, though certain conditions were placed on the event and the library publicly distanced itself from her views. The library has experienced a fractured relationship with the transgendered and gender non-confirming community since the event which it is attempting to mend. This article is an exploration of the arguments on both sides in the library community and beyond and of the larger questions about the use of public meeting rooms and freedom of expression in the 21st century. It is also about the personal journey of the author, an advocate for both intellectual freedom and LGBTQ+ rights, and her conversations to those attempting to find a new definition of what constititutes intellectual freedom.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.255
Threshold uncertainty score0.506

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0300.097
Scholarly communication0.0240.014
Open science0.0020.008
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0060.001

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 head0.073
GPT teacher head0.340
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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