The Fight for the 2024 Presidential Election within the PDIP within the Framework of Tempo (Roland Barthes’ Semiotics Study on the Cover of the May 2021 Edition of Tempo Magazine)
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.
Bibliographic record
Abstract
Objective: At a time when parties participating in the 2024 election are busy forming coalitions to determine potential candidates for president, Even PDIP is busy manoeuvring politics on her body Alone. The rivalry between Puan Maharani and Ganjar Pranowo enlivened the determination of the presidential candidate in the PDIP body. This reality is raised on the cover of the October 25 to October 31, 2021, edition of Tempo magazine, which is conveyed in a cartoon illustration of a relay race between Joko Widodo, the baton holder, and Puan and Ganjar. The aim of understanding how Tempo's discourse on the nomination constellation within the PDI-P body is through the cover of Tempo Magazine, which is published in editions from October 25 to October 31, 2021. And is there an implicit value about the power that wants to be framed in the ideology Tempo interests? Methods: In understanding this, this research analyzes Roland Barthes' structural semiotics by analyzing the semiosis of markers and signs to know the denotative and connotative meanings of the cover of Tempo magazine and dismantle the myths brought by Tempo through its Semiotics. Result: From the results of the study, it was shown that during the discourse, there was a roar of competition within the PDI-P in proposing prospective candidates. The rumble is deeper in the discourse developed by Tempo because the existence of nepotism and clientelism is a myth in Barthes' semiotic concept.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it