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Record W653678852

The University: International Expectations

2002· book· en· W653678852 on OpenAlex
F. King Alexander, Kern Alexander

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

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsnot available
Fundersnot available
KeywordsRedressHigher educationAccountabilityAutonomyAcademic freedomPublic administrationPolitical scienceCompetition (biology)InstitutionPerformance studiesSociologyManagementLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

They examine the purpose of the university, its evolution and change, its degree of autonomy, evaluations of performance and accountability, its role in guaranteeing human rights, financing, and efficiency and the influence of technology on instruction and structure - all issues that are highly relevant to university leaders and legislators who seek to form and fashion responsive and workable institutions and systems of higher education.The authors suggest measures needed to overcome organizational inertia and recognize the necessity of responsiveness to social and economic changes. Different aspects of worldwide human rights struggles that bear on the university are discussed - for instance the situation in South Africa, where higher education institutions are seeking to redress the misdeeds of the past. The authors also address the issue of public versus private institutional competition and the emergence of the private for-profit institution. Finally, the realities of how and to what extent technology can be relied upon to improve college and university instruction is examined. Contributors include Don Aitkin (University of Canberra, Australia), F. King Alexander (University of Illinois), Kern Alexander (University of North Florida), Michael J. Beloff (Trinity College, Oxford), Ian Clark (Council of Ontario Universities), Stephen R. Greenwald (Audrey Cohen College, New York), James J. Mingle (Cornell University), John H. Moore (Grove City College, Pennsylvania), David W. Olien (University of Wisconsin System, Madison), and David R. Woods (Rhodes University, Grahamstown, South Africa).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.276
Threshold uncertainty score0.997

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.332
Teacher spread0.300 · 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

Quick stats

Citations2
Published2002
Admission routes1
Has abstractyes

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