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Record W7119270375

Poeticizing after sixty: An experience on aging

2020· article· pt· W7119270375 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldHealth Professions
TopicHistory, Culture, and Society
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsQualitative researchContext (archaeology)Elderly peopleAffect (linguistics)Population ageing
DOInot available

Abstract

fetched live from OpenAlex

A estigmatização do envelhecimento reduzindo-o às perdas se dá tanto pela desnaturalização do fenômeno quanto pela influência do ideário cultural sobre o envelhecimento que desconsideram seus aspectos subjetivos. O objetivo deste artigo é apresentar uma pesquisa participante em uma oficina de poesias, identificando se a leitura e a produção poéticas auxiliam na produção de novos sentidos sobre o envelhecer. Dos materiais produzidos nas oficinas bem como dos relatos descritivos dos encontros, emergiram as seguintes categorias de análise: a oficina enquanto espaço de apropriação, convívio e reflexão das participantes; sociedade e a possibilidade da postura ativa no envelhecimento; a apropriação do corpo no envelhecer: vivências e críticas ao modelo estético; memória: recordações e significados. Como resultado a oficina de poesias possibilitou um espaço de criação, partilha e reconhecimento social; retomada de memórias e reflexões acerca dos estigmas.\nPalavras-chave: envelhecimento; psicologia do desenvolvimento; saúde mental; idosos; poesia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.364
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.134
GPT teacher head0.422
Teacher spread0.287 · 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
Published2020
Admission routes1
Has abstractyes

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