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Record W2557175228 · doi:10.5539/jel.v6n1p175

Middle School Students’ Perceptions of the Quality of School Life in Ankara

2016· article· en· W2557175228 on OpenAlexvenueno aff
Figen Ereş, Pınar Bilasa

Bibliographic record

VenueJournal of Education and Learning · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPsychologyFeelingQuality (philosophy)Quality of life (healthcare)Dimension (graph theory)Class (philosophy)Mathematics educationSocial psychology

Abstract

fetched live from OpenAlex

The aim of this research is to measure the perception of middle school students in Ankara regarding the quality of school life. According to the findings obtained, the students have moderate level perceptions about the quality of school life. Their perceptions about sub-dimensions vary. While the students have the highest perceptions about sub-dimension “status”, they have the lowest perceptions about “school management”. The students have moderate perceptions about sub-dimension “student” which includes mutual relations between students. Similarly, they have moderate perceptions about feelings towards the school which include items related with school image as perceived by the students. The school management, which is directly responsible for the school climate and image, has an impact on life quality perception. Analyzing school life quality of the students by their demographic features, it was found that female students and students in a class consisting of 10-20 students have higher school life quality perception. Although academic success of the students varies, their school life quality perception does not vary.

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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.121
GPT teacher head0.385
Teacher spread0.264 · 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

Citations24
Published2016
Admission routes1
Has abstractyes

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