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Record W2263523091

Plan de marketing social para incentivar las actividades físicas - recreativas en adolescentes femeninas, cantón quevedo, año 2015”

2015· dissertation· es· W2263523091 on OpenAlexaboutno aff
Rizo Intriago, Silvia Eugenia

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationBasketballSocializationPresentation (obstetrics)Quarter (Canadian coin)Plan (archaeology)GeographyAdvertisingSociologyPsychologyPolitical scienceMedicineSocial scienceBusinessArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This research was conducted in Quevedo town, Los Rios Province, Republic of the Ecuador, during the third quarter of 2014. It was considered as a general objective to design the four basic components of the marketing mix of social marketing plan to encourage physical recreation in female adolescents, Quevedo, 2015. The investigation came mainly to the following conclusions: 62% of female adolescents surveyed said that there is no offer of sports programs in their area (neighbor or parish) and there is a little range of recreational activities at school (walking, hiking, bailoterapias, etc.). 44% believe that girls do not participate in recreational activities because no one's organized them. 28% believe the cause is lack of dissemination activities. 74% said no recreational activities are organized in her parish. 44% prefer sports fields for recreational activities. 62% prefer to directly participate in recreational activities of their parish. 25% said they prefer to practice female and 19% Indoor prefers basketball. Recreational physical activities will be organized in weekly sessions (weekend) for each urban parish of the town and will be sporting nature (female Indoor and basketball), leisure (Traditional Games. Sacks, blind man's bluff Fifty-stick, The Hidden, etc.), socialization (presentation of cultural events) and contact with nature (walking with friends / River roadTour/ swimming). Thespecifichypothesisweretestedentirely.

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)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.114
GPT teacher head0.470
Teacher spread0.356 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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