Social Economy Policies as Flanking for Neoliberalism: Transnational Policy Solutions, Emergent Contradictions, Local Alternatives
Bibliographic record
Abstract
Abstract While early assessments of neoliberalism stressed its destructiveness, more recent analyses have begun to consider and assess how its consolidation has involved the creation of new institutions and governmentalities to stabilise emergent contradictions and instabilities. This article traces how the social economy has been positioned in the OECD's public policy discourse as a flanking mechanism, and especially the friction in these policy proposals between an “entrepreneurial” vision that attempts to extend market relations and the social capital/social cohesion vision of meeting unmet needs and promoting participation in voluntary organisations. The tension between the entrepreneurial and social capital visions is a recurrent theme in the national case studies canvassed here, with the former frequently crowding out the latter. The article concludes by looking at how the women's movement in Québec, Canada, has attempted to exploit this tension to push policies beyond neoliberalism.
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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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.046 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| 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".