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Record W4382245004 · doi:10.1515/9781553395065-001

Introduction/Preface

2016· book-chapter· en· W4382245004 on OpenAlexaboutno aff
Peter Mercer

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

However, I had previously taught for several years at the University of Windsor and University of Calgary law schools before spending 20 years in a variety of administrative roles at the University of Western Ontario, including dean of law and vice-president administration and general counsel.I have also continued as one of the instructors in the Senior University Administrators Course, which has enabled me to stay abreast of Canadian higher education.Only a couple of generations ago, senior administrators and trustees of Canadian colleges and universities held office for terms -20 or 30 years was not uncommon -that would be unthinkable today.The sheer operational complexity and the intense regulatory and political scrutiny to which institutions are subject has meant that the average term of office of a dean or a president or a board chair has significantly and steadily declined.Today's university is engaged with many more external constituencies, particularly in its research operations, and these engagements often feature separate structures that can sometimes behave as if they are autonomous.Faculty members, as well, more frequently engage in research and other academic projects beyond the boundaries of their home institution.Virtually all these changes increasingly raise the spectre of potential legal action on any number of grounds, and in a way that is menacing to the layperson.Degree programs in education administration and other sorts of training and education workshops typically include a legal component, but there are few accessible resources available.In-house counsel, where they exist, are obviously a valuable resource but only if they

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.349
Threshold uncertainty score0.929

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.3490.263

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 head0.027
GPT teacher head0.270
Teacher spread0.243 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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Same venueMcGill-Queen's University Press eBooksSame topicLegal Education and Practice InnovationsFrench-language works237,207