Social entrepreneurship as field encroachment: how a neoliberal social movement constructed a new field
Bibliographic record
Abstract
Abstract In explaining the emergence of new strategic action fields, in which social movements’ and organizations’ logic, rules and strategies are forged, inter-field dynamics remain under-explored. The case of Social Enterprise and Entrepreneurship (SEE) shows how new fields can emerge through field encroachment, whereby shifts among overlapping fields create structural opportunities for the ascendency of new fields, which may adapt logics borrowed from adjacent fields to construct legitimacy. SEE leveraged the 1980s’ shift between first-order market and state fields to encroach on the political strategies of community organizing, birthing a neoliberal social movement to create a new field addressing social problems using market-based, profit-motivated approaches. With its borrowed veneer of justice, SEE rapidly developed a high academic and public profile over just three decades, despite little evidence its approach to solving social problems works. In encroaching on proven political strategies for solving social problems, it may further undermine democratic practices.
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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 | 0.012 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.055 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".