Emancipatory Social Innovation: Within and Beyond the Innovative Society
Bibliographic record
Abstract
Abstract Social innovation (SI) is a promising concept that has been developed and mobilized in academia, government policies, philanthropic programs, entrepreneurial projects. Scholars propose multiple conceptions and categorization of what is SI (trajectories, approaches, theoretical strands, paradigms, streams). Some recent work has also addressed the question of who is doing SI. In both cases, the what and the who remain the key characteristic of SI. Two approaches are confronted: one where SI is more presented as a concept that reproduces the neoliberal–capitalist societies; a second that conceives SI as a transformative and emancipatory pathway. With this article, I contribute to the possibilities to conceive SI as performative concept. My proposition is to analyze SI as a discourse with precise performative practices and apparatus. By doing so, it allows scholars and practitioners to better reflect and identify the effects, tensions and ambivalence and possibilities of SI. Moreover, it gives us few key aspects of what might constitute an emancipatory social 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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.050 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".