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Record W7110566871

Reserva cognitiva en una muestra de adultos del Área Metropolitana de Rosario: su relación con el nivel de ingresos y el rendimiento cognitivo.

2023· article· es· W7110566871 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Hipermedial UNR (Universidad Nacional de Rosario) · 2023
Typearticle
Languagees
FieldPsychology
TopicDevelopmental and Educational Neuropsychology
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaPersonaCognitionContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Este trabajo integrador final busca indagar sobre la relación de los niveles de reserva cognitiva con el nivel de ingreso y con el rendimiento cognitivo global. Se trata de una investigación de campo, para lo cual se adopta un enfoque metodológico cuantitativo con diseño no experimental y transversal. Participaron 172 adultos argentinos de Rosario y alrededores. Se trata de un muestreo no probabilístico, por conveniencia, invitando a sujetos que participaban de una campaña pública y gratuita de prevención del deterioro cognitivo y demencias. Se administró el Cuestionario de Reserva Cognitiva, la evaluación cognitiva de Montreal (MOCA) y un cuestionario sociodemográfico. Los resultados muestran que personas con bajo nivel de ingresos tienen baja reserva cognitiva, y que mayor reserva cognitiva se correlaciona con un mejor estado de las funciones cognitivas. Por lo tanto, se concluye que la situación socioeconómica de un sujeto condiciona su nivel de reserva cognitiva, y que una mayor reserva atenuaría los cambios cognitivos negativos asociados al envejecimiento.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.016
GPT teacher head0.327
Teacher spread0.310 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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