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Record W1970820959 · doi:10.5539/elt.v7n5p102

A Contrastive Survey of Speech Acts in Hong Kong Bilingual Legislative Texts: A Case Study of CO and SPR

2014· article· en· W1970820959 on OpenAlexvenueno aff
Kefeng Fu

Bibliographic record

VenueEnglish Language Teaching · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Language and Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsLegislaturePragmaticsLinguisticsLegislationSpeech actRealization (probability)PsychologyContrastive analysisPerspective (graphical)Contrastive linguisticsPolitical scienceComputer scienceApplied linguisticsLawArtificial intelligence

Abstract

fetched live from OpenAlex

As one kind of the legislative language, the language of bilingual legislation possesses its specific characteristics: the two versions share the same authenticity and effect. Therefore, the contrastive analysis of this kind of language from the perspective of pragmatics is more persuasive and authoritative. In this paper, the author chooses Crime Ordinance of Hong Kong and its subsidiary regulation Suppression of Piracy Regulations as data to explore the similarities and differences in the realization methods of speech acts and the frequency of speech acts indicators between English and Chinese texts. The author hopes to find conversions and translations of the corresponding form in speech acts of bilingual legislation and provide references for legal translation between English and Chinese through this study.

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)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
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 head0.017
GPT teacher head0.342
Teacher spread0.325 · 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.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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