MétaCan
Menu
Back to cohort
Record W3182294539 · doi:10.5430/ijhe.v10n6p193

Balancing Inclusion and Diversity with Upholding Free Speech Rights in Canadian Universities: Challenging but Feasible

2021· article· en· W3182294539 on OpenAlexaffvenueabout
Sirvan Karimi

Bibliographic record

VenueInternational Journal of Higher Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic Freedom and Politics
Canadian institutionsYork University
Fundersnot available
KeywordsPanacea (medicine)Inclusion (mineral)Diversity (politics)AssertionFree speechAcademic freedomPolitical sciencePoliticsPublic relationsSociologyBalance (ability)Public administrationHigher educationLaw and economicsLawSocial sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

The tension emanated from deeply polarized socio-cultural values has found its way into the Canadian university campuses. In their endeavour to strike a balance between promoting diversity, inclusion and respecting free speech, the Canadian higher educational institutions have encountered formidable challenges. Central to the contention revolving around the free speech debate is an assertion that institutional pressures for consolidating a culture of political correctness is believed to have the potential to curtail and stifle freedom of expression which has in turn triggered governmental intervention in certain Canadian provinces. The lack of a proper balance between the quest for promoting inclusion, diversity and free speech can in the long run undermine the socially vital mission of universities, and hence corroding the public trust in the higher educational institutions. Obviously, there is no single solution that can function as panacea to surmount theses pressing demands faced by the Canadian universities. However, it will be argued that the extension of constitutionally protected freedom of expression to the Canadian universities is not only geared to address the shortcomings of academic freedom, but it is also conducive to harmonizing the pursuit of promoting diversity and inclusion with upholding free speech principles.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.296
Teacher spread0.283 · 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.

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

Citations1
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueInternational Journal of Higher EducationSame topicAcademic Freedom and PoliticsFrench-language works237,207