Globalization, Trade, Work, and Health
Bibliographic record
Abstract
Abstract Idris is a 10-year-old boy growing up in Dhaka, Bangladesh. As portrayed in the documentary ;lm “A Kind of Childhood,” directed by Tareque and Catherine Masud, Idris works at a garment factory in order to support his family because his blind father is unemployed. When an international nongovernmental organization campaigns against child labor, however, Idris loses his job and the family its income. Local civic organizations, supported through international aid, help Idris and other former child laborers attend school with suspended fees. Because his family still needs money, Idris begins to work as a collector on a three-wheeled minibus, facing the triple perils of treacherous traffic, stress, and contaminated air. When the school schedule changes, he is forced to drop out and transforms his dream of education into one of minibus driver. Idris is involved in a minibus crash, and then faces respiratory problems. As the ;lm progresses, we see Idris age before our eyes; when he becomes ill at the age of 14, he already seems to be an old man (Masud and Masud 2003). As this chapter will illustrate, the factors involved in Idris’s plight, including poverty, child labor, and inadequate health, education, and social protections, are all linked to globalization processes and unsafe working conditions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
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".