Reconstructive Social Innovation Cycles in Women-Led Initiatives in Rural Areas
Bibliographic record
Abstract
Social innovations can tackle various challenges related to gender equity in rural areas, especially when such innovations are initiated and developed by women themselves. We examine cases located in rural areas of Canada, Italy, Lebanon, Morocco, and Serbia, where women are marginalized by gender roles, patriarchal values, male dominated economy and policy, and lack of opportunities for education and employment. Our objective is to analyze five case studies on how women-led social innovation processes can tackle gender equity related challenges manifested at the levels of everyday practice, institutions, and cognitive frames. The analyses are based on interviews, workshops, literature screening, and are examined via the qualitative abductive method. Results summarize challenges that rural women are facing, explore social innovation initiatives as promising solutions, and analyze their implications on gender equity in the five case studies. Based on our results we propose a new concept: reconstructive social innovation cycle. It refers to is defined as cyclical innovation processes that engage women via civil society initiatives. These initiatives reconstruct the existing state of affairs, by questioning marginalizing and discriminative practices, institutions, and cognitive frames that are often perceived as normal. The new concept helps with to assessing the implications that women-led social innovations have for gender equity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".