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Record W1506803510

New Public Management and Ceremontial Change at Ontario Colleges and Universities

2009· article· en· W1506803510 on OpenAlexaffabout
Gary Spraakman

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsYork University
Fundersnot available
KeywordsAccountabilityTransparency (behavior)RevenueIncentiveGovernment (linguistics)AccountingGrading (engineering)BusinessOperating budgetPublic administrationActivity-based costingPacePolitical sciencePublic relationsPublic economicsEconomicsFinance
DOInot available

Abstract

fetched live from OpenAlex

During the 1990s, the Ontario government revised its funding approach for community colleges and universities in response to escalating provincial government budgetary deficits combined with weak economic growth. Between 1992 and 2004, increases in government funding failed to keep pace with inflation, such that Ontario's per student funding dropped to last place in Canada. Case studies of two Ontario colleges and two universities were conducted to determine the impact of these changes on institutional planning and budgeting. The motivation was to assess the validity of New Public Management (NPM) principles in explaining the actions and the reactions of the institutions. These institutions responded by adopting more strategic approaches including deregulated programming, better program costing, developing new revenue sources and markets, and seeking efficiencies through larger class sizes, simplified grading, and the use of more part-time instructors. A revised version of Lapsley's (2008) NPM framework was used to assess the effects of the Ontario government's actions upon colleges and universities. On the surface, the colleges and universities responded largely as predicted under NPM, with structural changes to their general management approach, encouraging entrepreneurial behaviour through financial incentives, and enhancing institutional transparency, accountability, and 'auditability' through Key Performance Indicators (KPIs). However, what appears to have occurred was more ceremonial adoption of NPM. Effectively, the institutions experienced change on the margins, and continued to budget and manage much as they always have.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.037
GPT teacher head0.313
Teacher spread0.275 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2009
Admission routes2
Has abstractyes

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