Malattie cardiovascolari e fattori socioeconomici di rischio: un analisi spaziale empirica su Calgary (Canada)
Bibliographic record
Abstract
Les maladies cardio-vasculaires et les facteurs socio-economiques du risque:une analyse spatiale empirique de Calgary (Canada). - Cet article presente une application des modeles spatiaux autoregressifs a l'analyse du lien entre les maladies cardiovasculaires et les facteurs de risque localises de nature demographique et socio-economique. Au-dela de la relation bien connue entre la maladie et les facteurs non-modifiables de risque, tels que l'âge et le genre, les modeles fournissent une evaluation fiable de la relation entre la maladie et les facteurs modifiables de risque, tels que la condition familiale, le niveau d'education et le revenu. L'analyse multivariee permet d'identifier des poches localisees mais pas toujours evidentes de population a risque, fournissant ainsi la base pour la definition de politiques et d'interventions socio-sanitaires adressees aux segments de la population qui sont le plus a risque et visant a limiter la frequence de la maladie. L'emploi de techniques explicitement spatiales permet de reduire effectivement la variabilite des estimations donnees par les modeles, en augmentant leur fiabilite et, par consequent, leur efficacite en tant qu'instruments analytiques pour l'identification de politiques d'intervention efficaces.
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 | 0.014 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 0.003 |
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; both teacher heads agree on what is shown here.
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".