Intersectional coproduction and infrastructural violence: experiences from Pakistan
Bibliographic record
Abstract
Abstract The delivery of projects for the coproduction of services raises multiple questions about how different structural barriers prevent and hinder the participation of various sectors of the population. Intersectionality theory provides a critical lens to examine the delivery of such coproduction projects to refine any strategies to include vulnerable perspectives or perspectives that get silenced by existing hierarchies. This paper presents an intersectionality-led analysis of the delivery of a project to improve public safety in Pakistan. The project mapped existing concerns about urban violence of different groups of the population. The project used a multilayered approach to facilitate the engagement of excluded views, both in the constitution of the research team and in the involvement of communities. An intersectionality framework is applied to analyse the deployment of the project in terms of design, innovation, planning, and signification. The analysis shows that there are limitations to how far coproduction exercises can challenge existing social structural barriers.
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.020 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".