MétaCan
Menu
← Back to cohort
Record W2521040357 · doi:10.11144/1219

Dolor osteomuscular y apoyo social en una muestra de gerontes de Bucaramanga

2016· article· es· W2521040357 on OpenAlexaboutno aff
Leidy Johanna Plata Osma, ‪Ara Mercedes Cerquera Córdoba‬‬‬‬‬‬‬‬‬‬‬‬‬

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2016
Typearticle
Languagees
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Objetivo. Determinar la relación entre las características clínicas del dolor osteomuscular y el apoyo social. Método. Se utilizó un método no experimental, con enfoque cuantitativo, de corte transversal y alcance correlacional, en una muestra de 70 adultos mayores de ambos sexos, partícipes de grupos de autoayuda de la ciudad de Bucaramanga, a quienes se les aplicó la versión abreviada del cuestionario del dolor de McGill y el cuestionario de apoyo social. Resultados. Se encontró que el 59% de los participantes describe su dolor como incómodo y el 57% como interno; en tanto, el 33% percibe apoyo emocional y el 39%, apoyo práctico, ambos de manera moderada. No se encontró correlación entre el apoyo emocional general y el índice de intensidad de dolor. Conclusión. Se encuentra que no existe correlación significativa entre las variable, sin embargo, es preciso tener en cuenta que este tipo de estudios ayudará a consolidar la comprensión de la percepción del dolor y las variables que deberían tener en cuenta para su apropiado manejo clínico.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.271
Teacher spread0.254 · 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 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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)→Same topicMusculoskeletal pain and rehabilitation→French-language works237,207→