Una crítica vacilante: cómo el potencial del Comercio Justo disminuye con "éxito"
Bibliographic record
Abstract
En términos generales, el objetivo del Comercio Justo es mejorar la vida de desarrollo de los productores nacionales. Para ello, el comercio justo, como cualquier otro movimiento de consumidores éticos, debe cambiar el comportamiento de los consumidores. Esto tiene la ventaja potencial de consumo defetishizing animando a la gente a cuestionar el impacto social y medioambiental de sus compras. Sin embargo, debido a que está sujeta a la lógica de un mercado caracterizado por la competencia y el conocimiento del consumidor limitada, el Comercio Justo también contiene características inherentes que trabajan contra este potencial mediante la reducción de la distinción entre el comercio justo y la producción convencional. Si el Comercio Justo es tanto maximizar su beneficio a los productores y animar a la gente a cuestionar la producción convencional, debe revertir su actual tendencia de oscurecer la distinción entre comercio justo y la producción convencional.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.030 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.018 | 0.026 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".