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Record W2618147414 · doi:10.1017/s0714980817000174

Outil de sensibilisation des proches à la conduite automobile des aînés

2017· article· en· W2618147414 on OpenAlexafffund
Ariane Vigeant, Mylène Arseneault-Legault, Rachel Boily, Sarah A. Buchanan, Jean-François Carosella, Mélanie Levasseur

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsOpenness to experiencePsychologyHumanitiesGerontologyMedicineDemographyArtSociologySocial psychology

Abstract

fetched live from OpenAlex

This study aimed to explore the impact of an awareness tool for relatives of older drivers (OSCARPA) on i) their interest, openness and knowledge, ii) changes of abilities required for safe driving, and iii) utilization of compensatory strategies. A pre-experimental design with pretest (T0) and post-test (T1) eight to ten weeks after the intervention was realized with 45 relatives in contact with an older driver of 65 years old or older and who was driving at least once a week. Overall, the results demonstrated that OSCARPA increased i) interest, openness and knowledge of relatives (p<0.001), as well as their perceptions of ii) changes of abilities of older drivers (p=0.02), and iii) their utilization of compensatory strategies (p=0.001). Future studies would be relevant to further evaluate and increase the effectiveness of OSCARPA.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0000.000
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 head0.048
GPT teacher head0.333
Teacher spread0.285 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

Explore more

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