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Record W1880610005

Relato verbal na avaliação psicológica da dor

2004· article· pt· W1880610005 on OpenAlexaboutno aff
Joselma Tavares Frutuoso, Roberto Moraes Cruz

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2004
Typearticle
Languagept
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

A dor é um fenômeno multidimensional com componentes sensitivos, emocionais e cognitivos. Os aspectos psicológicos têm um papel de destaque no início, agravamento e manutenção da dor. A dor é descrita como algo desagradável, independente da sua duração (aguda, crônica, episódica) ou origem (provocada por nocicepção, desaferentação, mista ou psicogênica). Sua intensidade, freqüência geram desconfortos físicos e psicológicos que dificultam o desenvolvimento das atividades cotidianas. O relato verbal (oral ou escrito) é uma forma de tornar público dados que ajudam a diagnosticar e planejar estratégias de prevenção e tratamento. O Questionário de McGill ilustra a importância do relato verbal na avaliação da dor descrevendo aspectos quantitativos e qualitativos de sua percepção. O objetivo desse artigo é discutir a importância do relato verbal na avaliação psicológica da dor.

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)0.006
metaresearch head score (Gemma)0.018
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 score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.261
Teacher spread0.243 · 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

Citations11
Published2004
Admission routes1
Has abstractyes

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