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Record W2761293166 · doi:10.5539/ijel.v7n6p221

Metaphorical Words and Expressions: Film Review Based on the Dialogue in Puteri Gunung Ledang (The Princess of Mount Ledang)

2017· article· en· W2761293166 on OpenAlexvenueno aff
Sharipah Nur Mursalina Syed Azmy

Bibliographic record

VenueInternational Journal of English Linguistics · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic, Cultural, and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMetaphorNatural (archaeology)Literal and figurative languageConversationLinguisticsHabitMountPsychologySociologyAestheticsCommunicationHistorySocial psychologyComputer scienceArtPhilosophyArchaeology

Abstract

fetched live from OpenAlex

This paper discusses the use of words and expressions in the metaphorical dialogues used in the film Puteri Gunung Ledang (PGL). The Malays are known for their gentle and amiable characters. These features include the way they speak. This can be observed when they covertly deliver messages in a conversation. The habit of not being straightforward and subtly conveying message are nurtured since a very young age. This act is regarded as a way of being courteous and practiced among themselves or others while communicating. As the result, the Malays often use metaphor in communication to make comparison on matters or things, covertly. Such comparison led to the use of different words comparing other things. Since the life of the Malays is heavily connected to their natural environment, they tend to interpret these elements in their daily use of language. In addition, this study has discovered that the Malays are really close with their natural environment. These relationships were expressed through the use of figurative language with words and phrases that are environment-oriented. The use of words oriented by anatomy, natural environment, flora and fauna, behaviour, jewellery and food is distributed as metaphor in PGL movie. These are the elements related to the natural human environment. In fact, due to this close connection, it was found that the Malays feel comfortable to relate these elements with nature and human behaviour in life.

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)0.194
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.194
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 science0.0010.000
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 head0.039
GPT teacher head0.351
Teacher spread0.312 · 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 designNot applicable
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

Citations2
Published2017
Admission routes1
Has abstractyes

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