Human rights trade-offs in a context of systemic unfreedom: The case of the smelter town of La Oroya, Peru
Bibliographic record
Abstract
This paper examines the interconnecting causes that have placed residents of the community of La Oroya, in Peru's central Andes, in the dilemma of having to sacrifice their human right to health in order to preserve job opportunities at the town's smelter. Using the lens of a 'capability-oriented model of human rights', the paper shows how a constellation of environmental, social, institutional and personal factors have resulted in structuring a context of systemic unfreedom in La Oroya. This is a context in which human rights abuses reproduce systemically, affecting the overall wellbeing of individuals and communities, and in turn, diminishing their ability to transform their reality of unfreedom. The paper argues that to understand fully why some residents of the La Oroya community acquiesced in forfeiting their own rights, particular attention has to be paid to the pernicious manner in which living under unfreedom has historically trapped individuals of this community in a vicious cycle of disadvantage.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.020 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".