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Record W7063671848

Academic Freedom in a Plural World : Global Critical Perspectives

2024· book· en· W7063671848 on OpenAlexfundno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2024
Typebook
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersUniversity of GlasgowUniversity of OxfordMcGill University
KeywordsAcademic freedomPluralDemocracyCorporatizationScope (computer science)Diversity (politics)ConversationIndividualism
DOInot available

Abstract

fetched live from OpenAlex

The notion of academic freedom dates back to the creation of universities and has long been understood to be central to their vocation. This freedom has come under attack by different actors throughout its history. In the current context, rising threats to democracy and human liberties, the corporatization of research, concerns about diversity and increased societal polarization, are putting a considerable pressure on its exercise. However, academic freedom is also a concept that suffers from persistent ambiguities associated with the general notion of freedom as well as debates about the function of universities.This edited collection addresses the question of academic freedom by situating it in its broader global context. More conceptual treatments contribute to an understanding of academic freedom as distinct and separate from, although related to, freedom of expression, or student rights. These conceptual treatments are combined with studies of actual struggles over the scope of academic freedom in specific universities. The contributions come from a broad variety of sites seek to deprovincialize the conversation beyond North America or the English-speaking world.

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)0.012
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.974
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.009
Science and technology studies0.0260.090
Scholarly communication0.0290.028
Open science0.0020.016
Research integrity0.0090.012
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 head0.055
GPT teacher head0.375
Teacher spread0.320 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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