185- POLICY AND PROGRAM EXCHANGE BETWEEN TWO GEOGRAPHICALLY EXTREME COMMUNITIES
Bibliographic record
Abstract
Summary This project arose from a visit to Iqaluit, by Dr. Mirta Roses Periago, Director of the Pan American Health Organization (PAHO) and Minister Leona Aglukkaq in April 2008 to participate in the 10th anniversary of the establishment of Nunavut. The project set the stage for a model of Pan American cooperation ( Panamericanism ) and solidarity between the most northern and most southern geographic areas of the hemisphere. Similar demographic trends and health risks affect these two regions - Argentina’s Tierra del Fuego (TDF) province and Canada’s territory of Nunavut. Collaboration and cooperation among the countries of the Region has become an essential tool to establish and develop strategic areas and approaches to find common themes, in order to reduce inequities in the Region and within countries. The project provided an opportunity to exchange experiences and sharing on the lessons learned in TDF and Nunavut in tackling health issues of common concern (i.e. culturally appropriate human resources for health, including indigenous health workers and managers; innovative approaches to the delivery of primary care services in remote locations, including the use of telehealth; prevention and control of communicable diseases such as tuberculosis; health promotion including nutrition, food security, diet and physical exercise and mental health well being, sexually-transmitted infections, drug and alcohol abuse). The partners engaged in this project included: PAHO; The Ministry of Health in Buenos Aires, Argentina; The Ministry of Health of Tierra del Fuego Province; The Health and Social Services Department, Nunavut, Canada; Health Canada. Objectives Build on the existing relationship between Canada and PAHO and strengthen capacity among Indigenous and Inuit health leaders in the region of the Americas. Foster information exchanges on health and issues of mutual interest through the exchange of experiences and lessons learned among the health authorities of Nunavut and TDF, and the Ministries of Health of Argentina and Canada. Increase knowledge and awareness of common health challenges impacting the health of the population groups through heightened Pan American solidarity by highlighting best practices and lessons learned on strategies to: (i) address the principal health problems and their determinants of the target populations, (ii) provide training for appropriate health care services for populations in both territories, and (iii) organize preventive and promotion primary health care services. Activities & Deliverables Activities: A Canadian delegation composed of Inuit health authorities from Canada and the Territory of Nunavut visited TDF. An Argentine delegation composed of national and provincial health authorities visited Nunavut. Deliverables: A brochure printed in Spanish, English, French and Inuktitut, outlining the principal outcomes and new expertise resulting from this exchange and disseminated among the countries of the Region. A website to publish the main results of this exchange to provide guidance for project participants and others interested in similar projects. http://new.paho.org/nortesur/?lang=en Virtual exchange of information using Elluminate technology to provide participants a forum for future technical exchange of best practices, experiences, and data.
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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 | 0.015 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 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 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".