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Record W7120459537

Contributions of ergonomics and urban planning for the aging and validation of quantitative instrument in the municipality of Pato Branco - PR

2018· dissertation· pt· W7120459537 on OpenAlexaboutno aff
Suelyn Maria Longhi de Oliveira

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2018
Typedissertation
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsData collectionChristian ministrySample (material)Stratified samplingPortugueseProtocol (science)Human factors and ergonomicsUrban district
DOInot available

Abstract

fetched live from OpenAlex

The present study aimed to develop and adapt the Portuguese version of the quantitative data collection instrument, based on the Vancouver Protocol (WHO, 2007), validating it in a sample of 113 people living in the municipality of Pato Branco-PR. The problem presented for the study was what the elderly people of the mentioned municipality think about ergonomics, urban planning, and more specifically about axes of the Global Guide (WHO, 2007) and the Ministry of Social Development, namely: building public and open spaces, transportation, housing, respect and social inclusion, civic participation and employment, communication, information and community support and health services and local protagonism. For this purpose, a case-study study was carried out with an intentional and experimental sample. A stratified probabilistic sample of elderly people in the municipality of Pato Branco was carried out, with the participation of 113 people from São Paulo, 99 elderly people and 4 leaders of institutions. they attend. The instrument of quantitative data collection consisted of a questionnaire, adapted from the Vancouver Protocol (WHO, 2007), containing 52 questions, in two parts: the first one of sociodemographic character and the second one with questions that included 8 axes of the Global Guide City Amiga of the Elderly and 1 of the Ministry of Social Development. The results obtained pointed out the sociodemographic aspects of the participating sample: 69.02% are Catholics, 60.17% have their own residence, 50.44% do not have a health plan, 67.25% never smoked, 53.98% participate 66.37% make daily use of the internet, radio or TV, 61.06% are physically active for 1 to 3 weeks, 75.22% are retired, 40.70% live in Pato Branco for more 36.28% live with spouses, 73.78% are 60 to 79 years old, 22.33% are 80 years old or older, and 3.88% are leaders of institutions. In each axis we searched for the most important variable, relating it to ergonomics, aging and urban planning. The most important axis was axis 8: Community Support and Health Services. The results consolidate the validation of the adaptation of the instrument for quantitative data collection in the municipality of Pato Branco-PR and may be suitable for other regions with similar ethnic and social , and be used as an instrument for the investigation of perception and population sociodemographic data, which allow the profile of the elderly population of municipalities similar to the locus of the research.

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)0.010
metaresearch head score (Gemma)0.025
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 score0.021
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.058
GPT teacher head0.363
Teacher spread0.304 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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