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Record W4392000577 · doi:10.5539/jel.v13n2p171

A Study of Components and Indicators of Being Quality Organization of Phrapariyattidhamma School, General Education Department, in the Northeast

2024· article· en· W4392000577 on OpenAlexvenueno aff
Thawee Na Nongkhai, Thatchai Chittranun

Bibliographic record

VenueJournal of Education and Learning · 2024
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsQuality (philosophy)PsychologyMathematics educationPedagogy

Abstract

fetched live from OpenAlex

The purpose of this study was to 1) study the components and indicators of being quality organization of Phrapariyattidhamma School, General Education Department, in the Northeast, and 2) evaluate the suitability of the components and indicators of being quality organization of Phrapariyattidhamma School, General Education Department, in the Northeast. The phases were divided into 2 phases: 1) studying documents and related works on the components of being quality organization and synthesize received data of components of being quality organization with 7 experts, and 2) evaluating the suitability of components and indicators of being quality organization employing suitability test verified by the experts on question details. The data analysis was by computer program using Rating Scale, Average, and Standard Deviation. The findings of the study were found that the components and indicators of being quality organization Phrapariyattidhamma School, General Education Department, in the Northeast contained 5 components and 43 indicators: 1) 9 indicators of quality learners, 2) 8 indicators of professional teachers, 3) 9 indicators of high-performance school, 4) 5 indicators of strategic management, 5) 8 indicators of community cooperation and the results of the overall evaluation of the components and indicators were at a higher level.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.018
Threshold uncertainty score0.151

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.398
Teacher spread0.359 · 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.

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
Published2024
Admission routes1
Has abstractyes

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