The commercial determinants of health in Ireland: fueling an industrial epidemic at home and abroad
Bibliographic record
Abstract
In Ireland, alcohol consumption is responsible for three deaths per day, yet the alcohol industry lobbies government ministers, senior officials and Oireachtas members against the introduction of regulation on alcohol. The alcohol industry met 361 times with the Irish government in 2018 alone, the year the Dáil debated the Public Health Alcohol Act. The food industry, and its representative trade bodies, have access to officials in the Department of Health, exercising influence on issues such as taxation, marketing, and food labelling. Despite its conflicting interest with those of public health, the gambling industry, through the Gambling Awareness Trust (GAT), is fast establishing itself as one of the primary sources of funding for Ireland’s response to gambling harms. The pharmaceutical and medical device industries shape integral aspects of our health system to align with commercial interests, including medical education, medical procurement, research and development, open science practices, the patent system, and drug pricing. In addition, the private healthcare sector in Ireland has used its power to undermine efforts to provide universal access to healthcare
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".