MétaCan
Menu
Back to cohort
Record W2761621655 · doi:10.5539/elt.v10n11p111

Acting the Intangible: Hints of Politeness in Non-Verbal Form

2017· article· en· W2761621655 on OpenAlexvenueno aff
Jumanto Jumanto, Sarif Syamsu Rizal, Raden Arief Nugroho

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitenessPoliteness theoryPsychologyLinguisticsSilenceNonverbal communicationHarmony (color)Communication

Abstract

fetched live from OpenAlex

This review paper has explored politeness in non-verbal form to come to hints for indicating the ideology. Politeness in non-verbal form is researched by reviewing verbal politeness theories through interpretive techniques, and then the data in form of interpreted hints based on the reviews are analyzed by employing a coding technique. The six non-verbal hints of politeness found out based on the theoretical reviews are silence for politeness, gestures for politeness, gifts for politeness, observance of norms, rules, and regulations for politeness, adjusted behavior for politeness, and performance for politeness. The hints expectedly provide a sufficient account for non-verbal politeness in interactions or communication between a speaker and a hearer. The findings also encourage promoting harmony among speakers of languages in non-verbal interactions or communication, especially in formal situations or in the general public. The hints are hopefully also worth considering in the context of English language teaching and learning across languages and cultures in the world.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.309
Teacher spread0.283 · 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 designQualitative
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

Citations7
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language TeachingSame topicLanguage, Discourse, Communication StrategiesFrench-language works237,207