MétaCan
Menu
Back to cohort
Record W4390325040 · doi:10.61583/kairs.v26i33.41

A atuação do gerontólogo nos diferentes níveis de gestão

2023· article· pt· W4390325040 on OpenAlexaff
Henrique Salmazo da Silva, Ana Julia de Lima Bomfim, Gabriela dos Santos, Isabela Martins Oliveira, Brunella Della Maggiori Orlandi, Tatiane Andrade Alvarez, Beatriz Aparecida Ozello Gutierrez, Rosa Yuka Sato Chubaci, Thaís Bento Lima da Silva

Bibliographic record

VenueRevista Kairós Gerontologia · 2023
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsThe Quebec Population Health Research Network
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

As demandas populacionais do processo de envelhecimento e da velhice, exigem soluções compatíveis para que todos possam envelhecer com qualidade e que os diversos recursos necessários para esse fim, sejam geridos de forma adequada. Uma dessas soluções é representada através do profissional bacharel em gerontologia. Nesse sentido, a pesquisa objetivou descrever o perfil de formação, áreas e características de atuação do bacharel em gerontologia no contexto brasileiro. Os resultados indicaram uma ampla atuação do gerontólogo em diferentes níveis de gestão de: serviços, projetos, equipes, entre outros, com maior prevalência na região sudeste do país. Conclui-se que a atuação do bacharel em gerontologia, devido a sua formação multidisciplinar, é importante para novas e adequadas alternativas frente aos desafios do envelhecimento populacional.

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)0.003
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.107
GPT teacher head0.430
Teacher spread0.322 · 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
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRevista Kairós GerontologiaSame topicHealth, Nursing, Elderly CareFrench-language works237,207