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Record W1574343003

Hacer Frente a la Esclerosis Lateral Amiotrófica: La Capacidad de Resiliencia

2011· article· es· W1574343003 on OpenAlexaboutno aff
Francesco Pagnini, Giada Bomba, Dalila Guenzani, Paolo Banfi, Gianluca Castelnuovo, Enrico Molinari

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2011
Typearticle
Languagees
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyArt
DOInot available

Abstract

fetched live from OpenAlex

"La Esclerosis Lateral Amiotrófica (ELA) es una enfermedad degenerativa fatal, que comporta una pérdida progresiva de funcionalidad física y conduce a la muerte en el curso de pocos años luego de su aparición. Al día de hoy no existe una cura. Sin embargo, los niveles de calidad de vida y de bienestar psicológico no resultan siempre correlativos a la enfermedad. Aún cuando trabajos precedentes han estudiado la calidad de vida en la ELA, pocos han explorado la capacidad de resiliencia. Veinticinco sujetos afectados por ELA completaron el McGill Quality of Life Questionnaire, la Hospital Anxiety and Depression Scale y la Resilience Scale for Adults. Los resultados indican niveles de resiliencia ligeramente por debajo de la media normativa. La capacidad de resiliencia tiene diversas correlaciones con elementos del bienestar psicológico y está negativamente asociada con la ansiedad y la depresión. Frente a la gravedad de la enfermedad, es posible recurrir a factores protectores, ya sean individuales o sociales, para reducir el impacto y mantener un elevado nivel de bienestar psicológico."

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.265
Teacher spread0.234 · 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 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

Citations4
Published2011
Admission routes1
Has abstractyes

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