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Record W2140002470 · doi:10.1353/ff.2007.a224763

Institutionalizing Inequalities in Canadian Universities: The Canada Research Chairs Program

2007· article· en· W2140002470 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNWSA Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic Freedom and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsInequalityPolitical scienceSociologyPublic administrationEconomic growthRegional scienceEconomicsMathematics

Abstract

fetched live from OpenAlex

To position Canada as a world leader in the "knowledge-based" economy, in 2000, the Canadian government established a multi-million-dollar initiative to appoint 2,000 scholars as Canada Research Chairs (CRC). Women are seriously underrepresented among CRC research "stars," and no data are kept for other equity groups. Eight women initiated a complaint with the Canadian Human Rights Commission in 2003 in an attempt to remedy inequities, and a national discussion has ensued over excellence and equity. We provide a brief outline of the CRC Program and demonstrate how it perpetuates a narrow conception of innovation and excellence, which further institutionalizes inequalities for women and faculty members from other equity groups in Canadian universities. We describe the strategy of the human rights complaint and remedies negotiated in the settlement of 2006. We argue for a broader conceptualization and contextualization of "excellence," and for research not in the private, but the public good.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.095
GPT teacher head0.403
Teacher spread0.308 · 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