MétaCan
Menu
Back to cohort
Record W2416636021 · doi:10.21831/lt.v3i2.11111

Textual Function Variations of Foreign Embassies’ Press Releases and Their Implications for Translation Teaching

2016· article· en· W2416636021 on OpenAlexaboutno aff
Chusna Amalia, Asruddin Barori Tou

Bibliographic record

VenueePrints - UNY (Yogyakarta State University) · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFormalityLinguisticsTheme (computing)Function (biology)Repetition (rhetorical device)Variation (astronomy)Computer scienceSource textTarget textSubject (documents)Thematic structureWorld Wide WebPhilosophy

Abstract

fetched live from OpenAlex

There are three purposes of this research: first, to describe the textual function variations of foreign embassies’ press releases; second, to describe the contextual motivating factors of the textual function variations of foreign embassies’ press releases; and third, to describe the implications of the textual function variations of foreign embassies’ press releases for translation teaching.
\nThis research used quantitative and qualitative approaches. The data are bilingual press releases as translational texts taken from the websites of the Australian Embassy, the British Embassy, the Canadian Embassy, the New Zealand Embassy, and the U.S. Embassy. The result of data analysis was descriptively discussed to get a complete depiction on the textual function variations and later on their implications for translation teaching.
\nThe result shows that the global overall textual function variation of the translational texts is very low which is represented by the mean of 1.25. There are 68% of the data having the same degree of variation. The most frequently occurring degree of variation is the lowest degree of variation represented by the category “0”; there are 48% having the same thematic structure realizations in both T1 and T2. The most frequently occurring type of clause in both texts is clause complex: 80.3% in T1 and 78.4% in T2.The most frequently occurring type of theme in both texts is topical theme: 59.4% in T1 and 54.9% in T2. The most frequently occurring theme selection in both texts is unmarked; 63.1% in T1 and 62.8% in T2. The contextual motivating factors of the textual function variations are analyzed from the translational texts’ mode and the clauses’ themes. The mode is written, realized through graphic channel therefore there is a high level of formality. The most occurring theme is subject which shows that the translators put emphasis heavily on the actor or the goal of the message in the clause. The most frequent pattern of thematic progression is repetition which efficiently constructs a communicative press release. In order to maintain favorable opinions of the public, the translators need to be certain that the foreign country and Indonesia are equally mentioned as the themes to give an impression that both countries share mutual roles and benefits in the diplomatic activity being informed in the press release. The implications for translation teaching are the very low global overall textual function variation of translational texts means that the translators had successfully maintained the textual functions, therefore these successful translational texts can be used in a more profitable manner as documentary sources for translation teaching; the concrete characteristics of translational press releases presented in this research are helpful for translation students in order to understand how the texts are organized.

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 score0.860
Threshold uncertainty score0.375

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.036
GPT teacher head0.237
Teacher spread0.201 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueePrints - UNY (Yogyakarta State University)Same topicDiscourse Analysis in Language StudiesFrench-language works237,207