A “Frank Statement” for the 21st Century?
Bibliographic record
Abstract
The surprise announcement by the former head of the WHO’s Tobacco Free Initiative, Derek Yach, that he would head a newly-established organisation called the ‘Foundation for a Smoke-free World’1 to ‘accelerate the end of smoking’ was met with gut-punched disappointment by those who have worked for decades to achieve that goal. Unmoved by a soft-focus video featuring Yach looking pensively off into the distance from a high-level balcony while smokers at ground level stubbed out Marlboros and discussed how hard it was to quit, leading tobacco control organisations were shocked to hear that the new organisation was funded with a $1 billion, twelve-year commitment from tobacco company Philip Morris International (PMI). PMI, which has been working for decades to rebrand itself as a ‘socially responsible’ company while continuing to promote sales of its top-branded Marlboro cigarettes and oppose policies that would genuinely reduce their use, clearly believes this investment will further its ‘harm reduction’ agenda, led by its new heat-not-burn product, IQOS. But don’t worry, the Foundation assures everyone that “PMI and the tobacco industry are precluded from having any influence over how the Foundation spends its funds or focuses its activities.’2 Except that is what a broad range of industry front groups, sometimes headed by respected and even well-intentioned …
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".