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Record W2886327267 · doi:10.22374/ijmsch.v1isp1.2

The Brazilian National Policy of Comprehensive Healthcare to Men

2018· article· en· W2886327267 on OpenAlexvenueno aff
Daniel Costa Lima, E Schwarz

Bibliographic record

VenueInternational Journal of Men s Social and Community Health · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMale Reproductive Health Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLife expectancyHealth careHealthcare systemPolitical scienceSocial careHealthcare policyExpectancy theoryPolicy developmentEconomic growthNational PolicyHealth policyPublic relationsPsychologySociologyPublic administrationNursingMedicineHealth care reformSocial psychologyLawEconomicsPopulationDemography

Abstract

fetched live from OpenAlex

The National Policy of Comprehensive Healthcare to Men (PNAISH) was established within the Brazilian Unified Health System (SUS) in August 2009. Despite the growing recognition that men’s lower life expectancy is strongly influenced by the social construction of gender and that their aloofness from the arena of care and health can also impact women’s and children’s health, so far, similar policies only exist in Ireland (2008) and in Australia (2009). This paper intends to introduce the scenario surrounding PNAISH’s development, implementation and also shed light on some of its main obstacles and successes, based upon a scientific literature and policy review and the insight of privileged informants, partners and researchers.

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)0.008
metaresearch head score (Gemma)0.011
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 score0.165
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.181
GPT teacher head0.553
Teacher spread0.372 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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