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Record W4224293978 · doi:10.5430/wjel.v12n4p57

Sarcastic Utterances in North Country Film as English Teaching Materials

2022· article· en· W4224293978 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSarcasmEnthusiasmDocumentationLinguisticsCharacter (mathematics)PsychologyAtmosphere (unit)Computer scienceIronyNatural language processingArtificial intelligenceMathematics educationSocial psychologyMathematicsPhilosophyGeography

Abstract

fetched live from OpenAlex

This aim of the study is to determine sarcastic utterances in North Country film as a teaching material of American Cuture course at the department of English Literature, Lancang Kuning University. This analysis were using pragmatic approach. In collecting data, the researcher used the documentation type, the data were then analyzed through qualitative descriptive technique. The results show that there are three categories of sarcastic uterances found in the film discussed, (1) Propositional sarcasm, where numbers of impolite utterances used by the men workers towards women workers (2) Lexical sarcasm, that there are many positive utterances but have negative effects, and (3) illocutionary sarcasm, where many illocutionary utterances used by the opponents to defeat main character. The sarcastic utterances are used as teaching material in the American culture courseat the English Literature Study Program. The students seem to study with enthusiasm in a pleasant learning atmosphere so that the average learning outcomes they achieved are very satisfying.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.000

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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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