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Record W1291946

Disagreement strategies used by male and female Indonesian celebrities in insert investigasi tv program

2009· article· en· W1291946 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOral health · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCommunication Studies and Media
Canadian institutionsnot available
Fundersnot available
KeywordsIndonesianGarciaPsychologyCriticismSocial psychologyAffect (linguistics)LinguisticsPolitical scienceLawCommunicationHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

This study aims to determine the devices in expressing disagreements toward infotainment interview used by Indonesian celebrities based on gender differences. The writer chose several up-to-date infotainment?s news from the channel and transcribed the male and female Indonesian celebrities? statements into English language. In the process of analyzing the collected data, the writer implemented Garcia?s theory (1989) of Disagreement Strategies. From the result of analysis, it could be seen that whatever the gender, the Indonesian celebrities used more confrontational devices than non - confrontational devices. Criticism of a third party and giving reason were the two mostly used disagreement strategies. This finding made gender differences did not have influence on the mostly used disagreement strategies in infotainment interview?s situation but only affect the variations of the devices.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.986

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 communication0.0000.000
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 head0.080
GPT teacher head0.409
Teacher spread0.328 · 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