Cancer Prevention as the Key to Long Term Population Health: An Interview with Dr. Carolyn Gotay
Bibliographic record
Abstract
Dr. Carolyn Gotay is Professor and Canadian Cancer Society Chair in Cancer Primary Prevention at the University of British Columbia (UBC). Her training began at Duke University and continued with a PhD in Psychology from the University of Maryland. During her first position at the University of Calgary, she became interested in the relationship between psychology and cancer, which would become the focus of her subsequent work. Dr. Gotay has held positions at Gettysburg College, the University of Calgary, and the National Cancer Institute (U.S.) where she acted as a Health Scientist Administrator. Following these positions, she began at the University of Hawaii, where she worked as the Director of the Cancer Prevention and Control Program. Throughout these various roles, her primary prevention interests were multi-faceted; they included a focus on clinical trials investigating quality of life as well as understanding end-of-life care and the psychosocial wellbeing of patients. Dr. Gotay joined UBC in 2008 where she continued her primary prevention research through the School of Population and Public Health and the B.C. Cancer Agency. Currently, Dr. Gotay is a leader in the Cancer Prevention Centre where she and her colleagues look at modifiable cancer risk factors and the application and assessment of interventions to modify these behaviours in the population.Dre Carolyn Gotay est professeure et elle siège au sein de la Société canadienne du cancer dans le domaine de la prévention primaire du cancer à l’Université de la Colombie-Britannique. Son éducation universitaire a débuté à l’Université de Duke et elle a continué ses études doctorales en psychologie à l’Université de Maryland. Son premier poste fut à l’Université de Calgary et elle concentre ses recherches sur la relation entre la psychologie et le cancer. Dre Gotay a obtenu des postes à l’Université de Gettysburg, à l’Université de Calgary et à l’institut national du cancer (É.U.) où elle était administratrice scientifique de la santé. Par la suite, elle a travaillé à l’Université d’Hawaii, où elle a oeuvré en tant que directrice du programme de prévention et de contrôle du cancer. À travers son cheminement professionnel, Dre Gotay a étudié les soins primaires préventifs en lien avec la qualité de vie, les soins de fin de vie et le bien-être psychosocial des patients. En 2008, elle a eu la chance de continuer sa recherche en soins préventifs primaires à l’Université de la Colombie-Britannique dans le département de santé publique ainsi qu’à l’agence de cancer de la Colombie-Britannique. Dre Gotay demeure une leader au centre de prévention du cancer où elle travaille présentement avec ses collègues pour trouver des facteurs de risque modifiables du cancer et l’application d’interventions pour modifier ces comportements dans la population.
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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 | 0.019 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.014 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.010 | 0.042 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".