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Comunicação, promoção da saúde e espaço social alimentar: um estudo exploratório na ECA-USP

2016· dissertation· pt· W2770803877 on OpenAlexaboutno aff
Perolah Caratta Macedo Portella Silveira

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionPublic relationsPromotion (chess)Public healthAction (physics)StructuringSociologyPolitical scienceMedicineNursing

Abstract

fetched live from OpenAlex

This dissertation explores the commonalities and possible interactions between the concepts of Communication, Health Promotion and Food Social Space. The literature review retraces the historic evolution of Health Promotion as a concept worldwide and regionally in Brazil. It then correlates that field with the current state of Public Communication research in Brazil, defending the notion that Communication professionals have a role to play as health promoters. Based on the theories of the School of Montreal, this paper connects Organizational Communication and Public Communication concepts, with the goal of establishing a path for action that corroborates the defended thesis of the role of the Communication professional in Health Promotion. Lopez and Haswani's Public Communication models are used as the theoretical basis for action. The analysis of two public policies (on "Health Promotion" and "Food and nutrition") lays the ground for the empirical study developed with the employees of ECA-USP. Jean-Pierre Poulain's Sociology of Food methodology is adopted in the study of the food practices of the aforementioned public. This dissertation seeks to be a first step in structuring a database with information that can guide future organizational action and programs aimed towards the promotion of employees' health.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, 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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.063
GPT teacher head0.358
Teacher spread0.295 · 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
Published2016
Admission routes1
Has abstractyes

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