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Record W1975898885 · doi:10.2478/v10159-012-0011-y

Post-Social politics, employability, and the security effects of higher education

2012· article· en· W1975898885 on OpenAlexaffabout
Jon Frauley

Bibliographic record

VenueJournal of Pedagogy / Pedagogický casopis · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEmployabilityRestructuringPoliticsContext (archaeology)Government (linguistics)Political scienceSociologyHigher educationPublic administrationPolitical economyEconomic growthEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Trends within Western capitalist societies toward the individualizing of social problems, the responsibilizing of individuals for such problems, the treating of social problems as problems of control, ongoing attempts to shift the burden for safety and security from the state to the market, and changing conceptions of citizenship, have produced a context within which economic insecurity appears as a governable problem for higher education. Canada’s most populous province, Ontario, experienced radical education reforms during the “common sense revolution” of the Progressive Conservative government from 1995 to 2003. The paper examines government documents, committee and task force reports, and legislative debates and hearings pertaining to these restructuring efforts and draws on the work of Michel Foucault and political sociology to explore the ‘security effects’ of higher education and the latter’s conceptual relationship to employability. Higher education policy and restructuring, shaped as it is by human capital theory, takes employability to be an outcome of restructuring. However, as the paper shows, in an attempt to produce ‘security effects’, employability operated as a central and constitutive category of governance around which education policies as regulatory strategies were crafted. In the recent emergence of a ‘next step’ in the production of the security effects of education employability is displaced by innovation.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.384
Teacher spread0.364 · 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 designObservational
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

Citations13
Published2012
Admission routes2
Has abstractyes

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