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Record W4226229689 · doi:10.5430/wjel.v12n3p1

Editorial: Special Issue on Language and Educational Administration

2022· editorial· en· W4226229689 on OpenAlexvenueno aff
Kittisak Jermsittiparsert, Hieu Minh Vu

Bibliographic record

VenueWorld Journal of English Language · 2022
Typeeditorial
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)Variety (cybernetics)DisciplineEngineering ethicsQuality (philosophy)Administration (probate law)PedagogySociologyComputer sciencePolitical scienceEpistemologySocial scienceEngineering

Abstract

fetched live from OpenAlex

In the current scenario, high-quality research on learning and teaching in the domains of language and educational administration play a prominent role in the increasing opportunities for intercultural engagement, communicative and learning practices. The scope of this issue provides a strategic forum for all educators and educational policy-makers concerned with creative, inquisitive and many transferable skills.Papers published in this issue are original, refereed, multi-disciplinary research into policy-making, administration, and cultures in education. The papers should focus on the advanced knowledge, theory, or methodology at the intersections of literature and education, educational psychology, policy and administration. Research published in this special issue engages with the complexities and changing realities of educational contexts and practices, focusing on all levels of formal education, as well as a wide variety of learning contexts in communication skills and inquisitiveness.

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)0.006
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.030
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.022
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.002
Science and technology studies0.0050.003
Scholarly communication0.0110.005
Open science0.0040.002
Research integrity0.0140.016
Insufficient payload (model declined to judge)0.0300.026

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 head0.007
GPT teacher head0.257
Teacher spread0.249 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2022
Admission routes1
Has abstractyes

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Same venueWorld Journal of English LanguageSame topicSecond Language Learning and TeachingFrench-language works237,207