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Record W1974045609 · doi:10.1159/000051128

Community Genetics in Eastern Québec: The Experience of the Corporation for Research and Action on Hereditary Diseases

2000· article· en· W1974045609 on OpenAlexaffabout
Anne Vigneault, Diane Brisson, Céline Bélanger, Daniel Gaudet

Bibliographic record

VenuePublic Health Genomics · 2000
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité de MontréalUniversité du Québec à ChicoutimiUniversité Laval
Fundersnot available
KeywordsAction (physics)PopulationPublic relationsDiseasePsychological interventionMedicinePolitical scienceEnvironmental healthNursing

Abstract

fetched live from OpenAlex

In the Saguenay-Lac St. Jean (SLSJ) region of Quebec, the high prevalence of some hereditary diseases has led concerned community members to create the Corporation for Research and Action on Hereditary Diseases (CORAMH) to take an active part in seeking and providing answers to this important health issue. CORAMH performs an important and unique role in the reciprocal transfer of information between community and researchers, as well as in the promotion and development of specialized services and research. It also provides a meeting ground for dialogue and dissemination of information. In particular, since 1983, CORAMH has been offering a Hereditary Disease Information and Prevention Program, mainly to SLSJ high-school clientele to convey basic genetic notions and provide information on specific hereditary diseases and on genetic determinants of health. By rallying various actors around a common table, CORAMH has come to be viewed as a community representative and can thus conduct effective mediations with decisional authorities for the development of proper health services. CORAMH also participates in reflection and research projects, such as ECOGENE-21, that aim to develop exportable infrastructures in preventive and community genetics and vanguard scientific, medical, ethical and social approaches capable of improving the population’s quality of life. CORAMH offers an intervention model that can be applied to specific hereditary disorders or complex diseases and serve other communities which will be requiring interventions on the genetic determinants of health in the upcoming decades.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.445
GPT teacher head0.520
Teacher spread0.075 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2000
Admission routes2
Has abstractyes

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