TiSA – a free trade area within the WTO – impact on healthcare, water, energy and municipal services
Bibliographic record
Abstract
This report was commissioned by PSI to raise awareness of PSI affiliates about the implications of Trade in Services Agreement (TiSA) for healthcare, water, energy, and municipal sectors. The main research questions are: 1. Which corporate players are involved in TISA negotiations through their networking and lobbying arrangements, highlighting companies involved in the four sectors; 2. How will government (central, regional and local) actions to change and expand public services be influenced by TISA conditions in the four sectors; 3. What are the implications of TISA for the process of re-municipalisation taking place in energy and water and potentially in health/social care? Geographical scope The research will focus specifically on the implications of TISA for the following countries: Australia, Canada, Chile, Colombia, Japan, Mexico, New Zealand, Norway, Pakistan, Peru, South Korea, Turkey, the United States, and the European Union,
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".