Bibliographic record
Abstract
Previous analyses indicate that there are a number of potentially serious health risks associated with the Trans-Pacific Partnership (TPP). The objective of this work is to provide further insight into the potential health impacts of the TPP by investigating labour market pathways. The impact of the TPP on employment and working conditions is a major point of contention in broader public debates. In public health literature, these factors are considered fundamental determinants of health, yet they are rarely addressed in analyses of trade and investment agreements. We therefore undertake a prospective policy analysis of the TPP through a content analysis of the agreement's Labour Chapter. Provisions of the Chapter are analyzed with reference to the health policy triangle and four main areas through which labour markets influence health: power relations, social policies, employment conditions and working conditions. Findings indicate that implementation of the TPP can have important impacts on health through labour market pathways. While the Labour Chapter is being presented by proponents of the agreement as a vehicle for improvement in labour standards, we find little evidence to support this view. Instead, we find several ways the TPP may weaken employment relations to the detriment of health.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".