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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".