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Significações de viver com depressão na velhice

2021· article· pt· W3174585979 on OpenAlexaboutno aff
Katia Carreira Pfutzenreuter, Ítala Villaça Duarte, Regina Celia Celebrone

Bibliographic record

VenuePsicologia Argumento · 2021
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Este artigo objetiva analisar os sentidos atribuídos à vivência da depressão por idosos. Trata-se de uma pesquisa de campo, exploratória, descritiva, do tipo transversal e de abordagem qualitativa. Para a caracterização dos participantes foi utilizado um questionário sociodemográfico e para a coleta de dados foi utilizada a Entrevista Narrativa de Doença - McGill Illness Narrative Interview (MINI), entrevista semiestruturada, traduzida, adaptada e validada para o Brasil. Foram analisadas 8 narrativas segundo a metodologia Análise de Conteúdo (Bardin, 2011), e foram sistematizadas as seguintes categorias: (I) A depressão atrelada aos sentidos sociais, agrupando as narrativas que apontam o estigma deste adoecimento psíquico, sendo principalmente relacionando com a loucura; (II) Sentimentos vinculados a depressão e suas repercussões nos laços sociais, incluindo falas sobre a irritabilidade, desânimo e inibição, e necessidade do reconhecimento do outro em relação ao seu sofrimento; e (III) Depressão associada às perdas e lutos de uma vida, havendo associação entre a depressão na velhice como um acúmulo sucessivas perdas familiares. Considera-se que o sujeito idoso acometido pela depressão necessita ser escutado, considerando as possibilidades de ressignificar lutos e histórias de vida, para tanto a importância de um amparo subjetivo e social.

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)0.003
metaresearch head score (Gemma)0.002
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 categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.004

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 head0.068
GPT teacher head0.397
Teacher spread0.329 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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