Desigualdades epistémicas e investigaciones participativas: Experiencias desde Montreal
Bibliographic record
Abstract
El articulo propone un analisis de las relaciones sociales no igualitarias en la produccion participativa del conocimiento, movilizando el marco teorico de las desigualdades epistemicas. Este marco se inspira en las reflexiones de academicas y academicos feministas y decoloniales sobre los saberes y las relaciones de poder en los procesos de investigacion. El autor utiliza este marco conceptual para analizar dos espacios de dialogo y de practica en el contexto de las investigaciones participativas (IP), en las cuales ha participado como co-investigador y despues como investigador principal. Estas experiencias se pusieron en marcha en un centro de investigacion sobre las desigualdades sociales en Montreal (Quebec, Canada), donde el analisis de las relaciones de poder es crucial, situando la reflexion sobre las desigualdades epistemicas en el centro de su trabajo. Ambos espacios de reflexion y desarrollo de las IP no son modelos normativos que deban aplicarse en otros contextos; sin embargo, ofrecen observatorios de reflexion interesantes sobre las dinamicas de poder en la produccion participativa del conocimiento y permiten a su vez analizar como las desigualdades epistemicas testimoniales y hermeneuticas contribuyen a mantenerlas o aumentarlas.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.030 | 0.018 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".