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Record W2000643482 · doi:10.1177/1025382308094381

Perspectives: what are the research needs?

2008· article· en· W2000643482 on OpenAlexaboutno aff
Jean‐Pierre Deschamps

Bibliographic record

VenuePromotion & Education · 2008
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental healthBusinessMedicine

Abstract

fetched live from OpenAlex

regarding research took a turn from traditional debates on public health research. Louise Potvin referred to it clearly: ‘The Ottawa Charter identifies values and principles that place the population’s emancipation and participation as equally important processes to research findings. We believe … that these principles and values are becoming the parameters for effectiveness of action.’ We cannot just concentrate on traditional approaches, based on the classical biomedical model, to organize health services and programmes. Jacqueline Descarpentries suggests in her article on public health education interventions that intervention is based on ‘the social and historical realities that have been determined by states’ traditions, and national, global, economic, political and cultural factors, to construct the social conditions for health education.’ A key point of the debate concerns the place of epidemiology in health promotion reflection and research. In this regard, Louise Potvin shed light on the discussion: ‘The methodological discourse is largely dominated by epidemiology. In the public health conceptual universe, health promotion is restrained to justifying its research procedures based on epidemiology’s criteria’, but epidemiology’s methodological paradigm ‘is hardly compatible with the emancipation principles and values of the Ottawa Charter.’ As a consequence, she says, there are two ways to ensure the rigour of health promotion evaluation studies: on the one hand, as part of the epidemiology paradigm, by driving analysis on the basis of a strict definition of the evaluator’s range of control; and on the other hand, by moving away from the paradigm and implementing disciplines that aim to establish processes of social transformation.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.321
GPT teacher head0.558
Teacher spread0.237 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations0
Published2008
Admission routes1
Has abstractyes

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