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Record W7052941255

Silos & stovepipes : the rationalization of higher education in Nova Scotia during the 1990s

2012· article· en· W7052941255 on OpenAlexfundaboutno aff

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2012
Typearticle
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
FundersDalhousie University
KeywordsRationalization (economics)Higher educationNova scotiaInformation silo
DOInot available

Abstract

fetched live from OpenAlex

This thesis looks at the rationalization negotiations between the Nova Scotia provincial government and its universities during the 1990s. The first chapter of this thesis places these negotiations into an historical context by looking at previous amalgamation attempts. In this section it is argued that, during the Carnegie Federation Scheme in the 1920s, Dalhousie University was exposed to and later embraced an institutional paradigm inspired by German research universities founded during the 19th century. The second chapter of this thesis explores the forces that brought about the founding of the Nova Scotia Council on Higher Education (NSCHE), the arm's-length organization created by government in consultation with the universities during the 1980s. The final chapter traces the rationalization negotiations during their apex. Ultimately it is argued when the rationalization process became politicized Dalhousie's response was to push for amalgamation. This resulted in a counter-proposal, which the provincial government supported.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.192
Teacher spread0.182 · 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 designQualitative
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

Citations0
Published2012
Admission routes2
Has abstractno

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