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Record W2784413257

Personal and Social Disease Pathology

2015· article· en· W2784413257 on OpenAlexaboutno aff
Giuseppe Tribuzio

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsDiseaseMedicinePathology
DOInot available

Abstract

fetched live from OpenAlex

With the Ottawa Charter definition of the concept health is integrated and expanded, aiming at enhancing not only the "state" of health, but the "process" that leads to it, taking into account health That is considered a resource through which, the individual becomes an active player in the community. Therefore it considers very important the community aspect and the social existence of the person, it must be that within an active protagonist. Each person, therefore, should feel responsible for their own condition and must be fire "exercise opinions more control over health and over their own their environments, and to make choices conducive to health." To achieve this it is essential to enable people to learn throughout life, to prepare themselves for all of its stages and to be fire cope with injuries and chronic diseases. This should be made possible at school, at home, in the workplace and in all community settings. The purpose of the “Ottawa Charter” are really ambitious if one takes into account that not all western industrialized countries, starting from the USA, put into practice social policies that can raise standards of health, requiring structural reforms of the welfare state. The disease is the tip of the iceberg of a social pathology, which causes discomfort and influence individual, not finding answers in the institutions, become chronic changing for the worse the quality of life.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.015
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.324
GPT teacher head0.581
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2015
Admission routes1
Has abstractyes

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