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Record W4309831454 · doi:10.5539/ells.v12n4p52

How the Arrangement of Attitude Resources Can Strengthen the Objectivity of News Reports

2022· article· en· W4309831454 on OpenAlexvenueno aff
Leyang Wang

Bibliographic record

VenueEnglish Language and Literature Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsObjectivity (philosophy)PublicityPublic relationsChinaOrder (exchange)SubjectivityPsychologySociologyPolitical scienceEngineering ethicsBusinessMarketingEpistemologyEngineeringLaw

Abstract

fetched live from OpenAlex

As Xiongan New Area in China is designed to attract international innovation elements, its publicity to the international community has become a prerequisite for the realization of its designed goal. Innovative talents who have a higher critical thinking ability constitute one essential part of the target readers of English news reports about Xiongan. In order to convince them of the brilliant future of the city, reporters need to arrange attitude resources in an objective way when expressing reporters’ appraisal about this city. Based on the quantitative and qualitative analysis, the current study finds that reporters attempt to use attitude resources to modify inanimate things in present and past tenses, as well as in passive voice. In addition, there is no attitude resources in expressing the essential concept guiding the construction of the city. All of these are considered to contribute to the enhancement of the objectivity of news reports and be of great help to present a more convincing image of Xiongan.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.764

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.277
Teacher spread0.260 · 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 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
Published2022
Admission routes1
Has abstractyes

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