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Record W2586820675 · doi:10.1177/0008417417690415

The relationship between sensory-processing patterns and occupational engagement among older persons

2017· article· en· W2586820675 on OpenAlexvenueno aff
Batya Engel‐Yeger, Sara Rosenblum

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsSensory processingSensory systemOccupational therapyPsychologyActivities of daily livingCognitive psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Meaningful occupational engagement is essential for successful aging. Sensory-processing abilities that are known to deteriorate with age may reduce occupational engagement. However, the relationship between sensory-processing abilities and occupational engagement among older persons in daily life is unknown. PURPOSE: This study examined the relationship between sensory-processing patterns and occupational engagement among older persons. METHOD: Participants were 180 people, ages 50 to 73 years, in good health, who lived in their homes. All participants completed the Adolescent/Adult Sensory Profile and the Activity Card Sort. FINDINGS: Better registration of sensory input and greater sensory seeking were related to greater occupational engagement. IMPLICATIONS: Sensory-processing abilities among older persons and their relation to occupational engagement in various life settings should receive attention in research and practice. Occupational therapists should encourage older people to seek sensory input and provide them with rich sensory environments for enhancing meaningful engagement in real life.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.524
GPT teacher head0.538
Teacher spread0.014 · 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

Citations25
Published2017
Admission routes1
Has abstractyes

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