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Record W1897050040 · doi:10.29173/md24837

Branding China to the World: A Pilot Study on China in the 2009 UN Copenhagen Climate Change Conference

2015· article· en· W1897050040 on OpenAlex
Guangfeng Chen

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueMultilingual Discourses · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChinaAppraisal theoryIdeologyWhite paperWhite (mutation)Climate changePolitical scienceSociologyPsychologySocial psychologyLawEcologyPolitics

Abstract

fetched live from OpenAlex

This study pilots an appraisal analysis of news articles on environmental reports from China Daily, with its twofold purpose to 1) examine the ideological discursive construction of China’s image in China Daily, and 2) show how attitudes encoded in news articles can be unveiled through the use of linguistic tools provided by the appraisal theory of Martin and White. The results showed that the contrast of a positive China vs. a negative US constituted a dominant pattern in the analyzed article on Copenhagen conference, which coincided with the "otherization" strategy in Western press. It is also showed that the appraisal analysis conducted in this paper was very productive and strong in revealing the image of China constructed in the China Daily news article analyzed, as well as the detailed way of the image construction through lexicogrammatical items of affect, judgment and appreciation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.152
GPT teacher head0.375
Teacher spread0.223 · 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