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
droits réservés pour tous pays. Toute traduction ou toute reproduction sous quelque forme que ce soit est interdite. Les textes publiés dans la série des Cahiers de recherche HEC n'engagent que la responsabilité de leurs auteurs. La publication de ce Cahier de recherche a été rendue possible grâce à des subventions d'aide à la publication et à la diffusion de la recherche provenant des fonds de l'École des HEC. Direction de la recherche, École des HEC, 3000, chemin de la Côte-Sainte-Catherine, Montréal (Québec) Canada H3T 2A7. Willingness to Pay for Improvements in Air Quality Pierre Thomas Léger * Central to the discussion of air quality degradation is its effect on health and the costs that it may impose on the health care system and the individuals whose health has been affected. Estimating the monetary benefits associated with improved air quality is problematic, as air (and its quality) is a public goods. By employing daily environmental data from Montreal and the Quebec Health Survey, a component of individuals ’ willingness to pay for reductions in ozone is estimated building on the work of Gerking and Stanley (1986). The results suggest a significant relationship between ozone levels, health status and medical care consumption. The results also suggest that the monetary benefits from reducing ozone levels are greater than previously estimated.
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 | 0.004 | 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 | 0.000 |
| 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 it