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Record W4323670465 · doi:10.33137/ic.v16i.40339

Community Profiles: Frank Iacobucci’s Leadership in Higher Education

2023· article· en· W4323670465 on OpenAlexvenueno aff
J. Robert S. Prichard

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsEducational leadershipSociologyPsychologyManagementPolitical sciencePedagogyEconomics

Abstract

fetched live from OpenAlex

Frank Iacobucci's career in the administration of justice has been so brilliant and celebrated, both at home and abroad, that it might shadow his other, equally distinguished, career of leadership in higher education.He has reached the pinnacle of achievement in both fields.In the same way that Frank's contributions as a judge place him in the pantheon of Canadian jurists, his contributions to law teaching and higher education over almost four decades have earned him an equally proud place among the very finest of those who have shaped and led Canada's universities.Frank's achievements in either sphere would be ample grounds to secure his place among Canadians of the first rank.But to have contributed so richly in two separate fields in the course of a single career is to distinguish Frank not only as an exemplar of the Italian-Canadian community, but to place him at the very summit of our nation's citizenry as a whole.Frank began his academic career as an outstanding student at the

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)0.005
metaresearch head score (Gemma)0.009
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.924
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.005
Scholarly communication0.0100.007
Open science0.0010.004
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0100.003

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 head0.211
GPT teacher head0.342
Teacher spread0.131 · 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".

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Citations0
Published2023
Admission routes1
Has abstractno

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