Trade agreements and labour standards clauses: Explaining labour standards developments through a qualitative comparative analysis of US free trade agreements
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Whereas a number of studies have been conducted to investigate causal relations between individual conditions (e.g. trade relations and labour standards), there is a lack of consensus among practitioners and scholars about the conditions that favour or cause labour standards improvements and, specifically, it is still unclear whether the increasing pervasiveness of Free Trade Agreements (FTAs) is conducive to enhancing labour conditions. The aim of this study is to shed light on whether labour clauses in FTAs are conducive to better labour standard practices, whether the content of a clause makes a difference, and whether changes have anything to do with other (external) pressures that play a role in changing labour standards. The main argument of the article is that FTAs do not play a determinant role in improving labour standards in signatory states. The analysis is done by looking at 13 FTAs signed by the United States with 19 countries. The United States is chosen because of its relatively extensive collection of FTAs including different conditions on labour standards. The empirical dataset is analysed with Qualitative Comparative Analysis (QCA) method, which permits to trace the combined effect of independent variables rather than to focus on the direct and individual causality with each of them.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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 it