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Record W2756401589 · doi:10.1590/1982-43272767201712

Toronto Alexithymia Scale: Adaptation of the Brazilian Version to Low-Educated Adults

2017· article· en· W2756401589 on OpenAlexaboutno aff
Tatiana Roccato Fortes, Isabel A. Bordin, Norma Lottenberg Semer

Bibliographic record

VenuePaidéia (Ribeirão Preto) · 2017
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaCronbach's alphaBrazilian PortuguesePortugueseInternal consistencyPsychologyToronto Alexithymia ScaleScale (ratio)Exploratory factor analysisComprehensionClinical psychologyPsychometricsLinguisticsGeographyCartography

Abstract

fetched live from OpenAlex

Abstract: For the purpose of studying Alexithymia in low-educated adults, we intend to adapt the Brazilian version of the Toronto Alexithymia Scale (TAS-26) and to verify its internal consistency. With that aim, we translated the original TAS-26 (English) to Portuguese, adopting a colloquial language, without content distortion. An exploratory qualitative study interviewed 50 women (38-65 years, education <9 years) and identified comprehension difficulties in 22 items, that needed adaptation. A professional translator performed the back-translation of the adapted TAS-26, that was applied to a new sample of women (90 with chronical pain and 90 without pain, 38-65 years, education <9 years) to evaluate its internal consistency. Only four items (1/2/3/16) of the pre-existing Brazilian version (appropriate to university students) did not require modification. The internal consistency (Cronbach’s alpha) was satisfactory for total score (0.65) and elevated for factor 1 (0.87). The adapted Brazilian version of TAS-26 is appropriate to low-educated adults.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.538

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.276
Teacher spread0.265 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2017
Admission routes1
Has abstractyes

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