La domesticité juvénile en Haïti : une vision à travers la lentille du pluralisme juridique
Bibliographic record
Abstract
In this thesis, we present the outcomes of a research conducted on children's domestic labor in Haiti. In addition to being engaged in housekeeping work -- which has a negative impact on access to basic education -- children in domesticity are generally victims of harmful disciplinary measures as well. Consequently, our main objective is to expose the actual norms and practices regarding the education and the physical treatment of young domestic workers. Based on legal pluralism, the approach undertaken during this research combines both theoretical and empirical research, and focuses on law and norms existing at multiple levels. First, we present the information gathered from our theoretical approach. After exploring the notion of "Haitian child domestic servant", sketching social profiles of actors engaged in the practice of domesticity, and identifying the most significant contingent factors, we underline the principal national and international norms guaranteeing children the right to education as well as to physical integrity. Second, we explore the local norms related to the education and to physical treatment of young domestic servants through the results of empirical research carried out in Haiti in the form of observation and interviews with relevant actors. We conclude by identifying the framework of norms that govern the behaviour of families that host domestic children. Understanding that framework allows jurists and other actors to identify and implement the actions more likely to improve the quality of life of child domestic workers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".