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Record W2589723581 · doi:10.1016/j.gaceta.2016.12.013

Repensar la Carta de Ottawa 30 años después

2017· editorial· es· W2589723581 on OpenAlexaboutno aff
Luis Andrés López-Fernández, Orielle Solar Hormazábal

Bibliographic record

VenueGaceta Sanitaria · 2017
Typeeditorial
Languagees
FieldSocial Sciences
TopicPublic Health and Social Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

A 30 a ños de la Carta de Ottawa 1 para la promoción de la salud, aprobada en noviembre de 1986, es válido preguntarse cómo ha logrado influenciar las políticas de salud pública o específicamente, como se ñala la Carta, «avanzar hacia una nueva salud pública» 2 .Cada efeméride de la Carta de Ottawa se escriben editoriales o suplementos de revistas sobre su alcance.Por ello cabe preguntarse qué nuevo tenemos que decir, qué pensamos de los avances o fracasos de la Carta de Ottawa (ya sea en su dise ño, sus contenidos o su implementación) y, por último, qué vigencia tiene en la época actual considerando los profundos cambios que se han producido en todo el mundo.Tales reflexiones son las que se comparten en este editorial.Los problemas y los desafíos que se presentan para la salud son muchos de ellos similares o incluso los mismos ya descritos; lo que cambian son los contextos, y lo que se requiere son nuevas intervenciones o estrategias para su abordaje.

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)0.023
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.051
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0060.003
Science and technology studies0.0050.007
Scholarly communication0.0130.006
Open science0.0060.004
Research integrity0.0330.041
Insufficient payload (model declined to judge)0.0120.007

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 head0.037
GPT teacher head0.385
Teacher spread0.348 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations14
Published2017
Admission routes1
Has abstractno

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