Examining the Research Base on University Co-operative Education in Light of the Neoliberal Challenge to Liberal Education
Bibliographic record
Abstract
Debates have been taking place in higher education communities in Canada and other Anglo-American contexts between defenders of liberal education and promoters of neoliberalism. One development not addressed is the growth of co-operative education (co-op). The origins of co-op may reside in John Dewey’s (1939, 1966) ideas about experience and democracy, but co-op also resembles a neoliberal phenomenon. We reviewed the North American literature on co-op from 1990-2014 to see if and how the rise of co-op has posed a challenge to liberal education. Our analysis revealed a dominant focus on instrumental and economic purposes reflecting neoliberal reforms, strands of philosophical and empirical inquiry consistent with liberal education, and a notable absence of critical, emancipatory outlooks. We contend that co-op researchers need to rediscover the socially progressive promise of experiential education, informed by other educational subfields. We also argue that researchers interested in neoliberal challenges to liberal education need to tap co-op as a site of inquiry.
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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 | 0.028 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.020 |
| Science and technology studies | 0.008 | 0.041 |
| Scholarly communication | 0.018 | 0.020 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".