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A Definitional Analysis with Implications for Classroom Teaching

2012· article· en· W1713244761 on OpenAlexvenueno aff
Li Sun

Bibliographic record

VenueHigher education of social science · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsPragmaticsPolitenessLinguisticsAmbiguityPsychologyMeaning (existential)Context (archaeology)GRASPFocus (optics)Competence (human resources)Face (sociological concept)Computer scienceSociologySocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

Pragmatics has been a field that has been considered by some scholars to be rather difficult to define and/ or not sufficiently important to be considered distinct to semantics. It has also not always received sufficient attention in L2 learning. A clear definition of what pragmatics is in terms of context and meeting truth conditions is presented as well the potential for ambiguity in defining cross-cultural pragmatic failure from other types. The analysis demonstrates the importance of such understandings of pragmatics and some of the implications for teaching it particularly in the L2 classroom, so that students can be better equipped to avoid cross-cultural communication problems. Based on Jung's seminal work at, there are also a number of insightful ideas on how acquisitorial pragmatics can be approached. One important area of focus relates to ensuring L2 learners gain an acceptable appreciation of pragmatic strategies of relevance. Again understanding the pragmatics of politeness and face saving is an important area to return to for L2 students to get right in their language learning strategies. For consistent to Hanza getting a grasp on what constitutes cross-culture failure through losing face due to low pragmatic competence would seem to be especially worthy of classroom attention. For example, though a milder example of impoliteness, for some, certain L2 speakers may not understand the differences of how and when to use such modals as “can” and “could” versus the conditional “would”; the latter of which carries a more imperative meaning than the two modals in respect to making requests -at least among middle class Americans. Key words : Pragmatics; Definitional analysis; Classroom teaching

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.776

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.369
Teacher spread0.295 · 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 designTheoretical or conceptual
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
Published2012
Admission routes1
Has abstractyes

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