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Traducción y adaptación de la Escala de Continuidad de Servicios de Salud Mental de Alberta en un contexto latinoamericano

2023· article· es· W4387588265 on OpenAlexaboutno aff
Felipe Agudelo‐Hernández, Helena Vélez-Botero, Rodrigo Rojas‐Andrade

Bibliographic record

VenueRevista chilena de neuro-psiquiatría · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicPublic Health and Social Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesContext (archaeology)Internal consistencyPersonaPhilosophyPsychologyGeographyPsychometrics

Abstract

fetched live from OpenAlex

Objective: Describe the process of translation, cultural adaptation to Colombia, as well as the internal consistency and construct validity of the Alberta Continuity of Services Scale for Mental Health (ACSS-MH).Methods: This instrument was subdued to the evaluation of validity of the content by experts and this was applied to a rural population in a Colombian context.Were performed tests of internal consistency and construct validity for each of the parts of the scale.Results: Under the consensus of the expert, it is made changes on some items, looking for a better adaptability of the instrument to the linguistic characteristics of Spanish, without losing sight of the evaluation objective of each one of the items on the original questionnaire.The result of the analysis of part A converged in 5 components that explain the 69.69% of the variance with 24 Items; Similarly, the analysis of part B grouped 13 items into four components, which explain the 72.02% of the variance.Discussion: This scale could be implemented to improve the provision of mental health services in Latin American contexts, where continuity of care has presented significant difficulties.

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)0.007
metaresearch head score (Gemma)0.012
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: Methods · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.003
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.375
Teacher spread0.351 · 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
GenreMethods

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

Citations8
Published2023
Admission routes1
Has abstractyes

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