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Record W2335966666 · doi:10.5539/hes.v6n2p84

The Leisure Behavior of the Turkish Prospective Teachers

2016· article· en· W2335966666 on OpenAlexvenueno aff
Neşe Aslan, Belgin Arslan Cansever

Bibliographic record

VenueHigher Education Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishPsychologyConformityValidityQualitative researchMathematics educationSocial psychologyApplied psychologyPedagogyDevelopmental psychologyPsychometricsSociologySocial science

Abstract

fetched live from OpenAlex

This study focused on prospective teachers’ leisure behaviors. For this purpose, 47 fourth grade undergraduate students in Faculty of Education in Ege University, Izmir, Turkey participated. A qualitative research design was used in the study. In the process of analysing the data, Greimas’Actant Model as one of the analysing models in Semiology was utilized. This model has been used for the first time in Turkey as an analytical tool applied in leisure literature. It is based on the logical relationships to disaggregate an action into six Actant components. The interview technique assessed the individuals. Miles and Huberman’s measurements were used for reliability and validity, and the conformity was found to be 89%. The results of this research study (1) suggest a primary leisure participation in Turkey within the traditional norms and values of society, and (2) within it, the traditional differentiating role for gender.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.384
Teacher spread0.339 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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