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Record W7024158371

Revisión sistemática de promoción de la salud ambiental infantil

2018· article· en· W7024158371 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2018
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionSciELOPublic healthHealth promotionPromotion (chess)Tobacco smokeChild health
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to identify the interventions oriented towards the promotion of children's environmental health available in the literature and their relationship with the conditions and requirements to achieve health according to the Ottawa Charter. A systematic literature review was conducted in which articles were searched in the databases of the VHL, EBSCO Host, Scielo and the academic Google and ScienceDirect search engines, published from 2017 to 2017 and which included interventions on children's environmental health. The search terms used were environmental health, Saúde Ambiental, environmental Health combined with the Boolean term "y - &" with the terms child health, Saúde da Criança, Child Health, health promotion, Promoção da Saúde and Health Promotion. 937 articles were identified, of which 14 contained interventions related to topics such as dengue, diarrheal diseases, tuberculosis, tobacco smoke pollution, healthy homes, basic sanitation, solid waste management, clean schools, and lead and arsenic contamination. The interventions were mainly carried out in school environments and in accordance with the Ottawa letter, corresponded to the creation of favorable environments and reinforcement of community action, followed by strategies that promote the development of personal skills.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.266
Teacher spread0.258 · 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 designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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