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Record W2006015795 · doi:10.5430/elr.v1n2p1

The Study of the Changes in English Use through the Movie Dialogues in "Pride and Prejudice"

2012· article· en· W2006015795 on OpenAlexvenueno aff
Zhang Xie, Huanqi Ji

Bibliographic record

VenueEnglish Linguistics Research · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicSubtitles and Audiovisual Media
Canadian institutionsnot available
Fundersnot available
KeywordsPridePrejudice (legal term)PaceLinguisticsEnglish languageSubject (documents)SociolinguisticsLanguage acquisitionPsychologyComputer scienceMathematics educationSocial psychology

Abstract

fetched live from OpenAlex

Language is by no means in a static condition. It changes all the time. The close relation between language and culture makes the changes of a society can be reflected in its language. English writer Jane Austin’s novel Pride and Prejudice has been adapted into movie twice in the year of 1940 and 2005. Characters’ dialogues in the two movie versions are the subject of this research. In this thesis, characters’ dialogues in the two movies are compiled into two copra (Corpus 1940 and Corpus 2005). The relevant theories of sociolinguistics and pragmatics are employed to compare and analyze the differences in language in the 1940 version and 2005 version. The research findings offer suggestions to English language teaching and learning. Most English learners learn English for communicating, and they communicate with modern English speakers, so it’s important for English teachers and learners to realize that what they teach and learn should be modern language which is changing all the time, and their language teaching and learning activities should always keep pace with the constant change of language to avoid being out of date.

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)0.002
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.211
GPT teacher head0.366
Teacher spread0.155 · 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
Published2012
Admission routes1
Has abstractyes

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