Post-Social politics, employability, and the security effects of higher education
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.022 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".