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Record W3105191545 · doi:10.1075/resla.18033.yaq

Subtitling of ostensible speech acts (OSAs)

2020· article· en· W3105191545 on OpenAlex
Mojde Yaqubi

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPersianMeaning (existential)LinguisticsPragmaticsComprehensionPsychologyPerceptionPhilosophy

Abstract

fetched live from OpenAlex

Abstract Persian-English subtitling of Iranian films deals with the challenges of understanding and transferring ostensible speech acts (OSAs). Both linguistic and cultural variations of these elements in Persian and English are expected to create serious difficulties for subtitlers. Although few studies with pragmatics approach have been conducted to interpret the meaning of Persian OSAs, they have been practically ignored in the fields of translation and subtitling. To fill this gap, this study aims to descriptively investigate the transference of the meaning of 80 Persian OSAs from selected Iranian films. It also analyses perceptions of 106 target text audiences of subtitled OSAs by examining their level of comprehension of 14 subtitled OSAs and the effective factors on their understandings. Finally based on the findings emerged from the descriptive and survey analyses, this study proposes a guideline for Persian-English on assisting the transfer of the intended meaning of OSAs.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.262
Teacher spread0.217 · 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