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Record W4283512620 · doi:10.47678/cjhe.v52i1.189231

The Carnegie Foundation for the Advancement of Teaching Division of Educational Enquiry and the Shaping of Canadian Higher Education

2022· article· en· W4283512620 on OpenAlexaffvenueabout
Daniel W. Lang

Bibliographic record

VenueCanadian Journal of Higher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFoundation (evidence)DilemmaMandateCorporationAutonomyHigher educationSociologyPlan (archaeology)Political sciencePublic relationsPublic administrationManagementLawEconomics

Abstract

fetched live from OpenAlex

When the Carnegie Foundation for the Advancement of Teaching was established in 1905, universities in Canada and New-foundland were eligible for participation in a pension fund for faculty and grants to universities. Canadian universities were quick to seek access to the Carnegie pension plan and for support from the Corporation. Access to both programs came with strings attached, including recommendations of educational studies commissioned by the Foundation, six of which addressed Canadian higher education specifically. As attractive as the prospect of Carnegie support was, it posed a dilemma for many universities and self-regulated professions associated with them in regard of mandate and autonomy. This study investigates how Canadian universities and the professional societies associated with them responded to the studies, found ways to take advantage of the reports, or in some cases make compromises to manage the internal conflicts that arose from them, and finally their embryonic introduction of the concept planned systems of higher education.

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)0.014
metaresearch head score (Gemma)0.021
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 score0.840
Threshold uncertainty score0.974

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0370.041
Scholarly communication0.0200.006
Open science0.0020.007
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0140.001

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 head0.032
GPT teacher head0.313
Teacher spread0.282 · 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

Citations3
Published2022
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Higher EducationSame topicCanadian Identity and HistoryFrench-language works237,207