TINDAK TUTUR EKSPRESIF PUJIAN DAN CELAAN TERHADAP PEJABAT NEGARA DI MEDIA SOSIAL
Bibliographic record
Abstract
Abstract Speech Acts of Praise and Mockery Expressions towards State Officials throughSocial Media. This research was conducted with the aim of describing the formsand funcion of speech acts praise and mockery expressions in Twitter, Instagram,and Facebook. The design of this research used descriptive research withqualitatve approach. The sources oh the data of this research were from the resultof observation in a social media twitter, instagram, and facebook. The formscategorized into praises in terms of the most frequent speakers encountered arepraises with the forms of interjection, praise of God, comparing, appreciating,showing off objects, and joking. Mockery expressions are in terms of speakersfound through social media which are often found in praises with apophasis,unuendo, irony, and sarcasm. In addition to aspects in the field of government, theobject of praises and mockery are: physical, religious, moral, mental, popularity,and integrity conditions. Key words: speech acts, praise expressions, mockery expressions Abstrak Tindak Tutur Ekspresif Pujian dan Celaan terhadap Pejabat Negara di MediaSosial. Penelitian ini dilaksanakan dengan tujuan mendeskripsikan bentuk danfungsi tindak tutur ekspresif pujian dan celaan di media twitter, instagram danfacebook. Penelitian ini menggunakan rancangan penelitian deskriptif denganpendekatan kualitatif. Sumber data penelitian ini berasal dari kumpulan data darimengobservasi media sosial twitter, instagram, dan facebook. Bentuk-bentukdikategorikan menjadi pujian dari segi penutur yang terdapat dalam media sosialyang banyak ditemui adalah pujian dengan bentuk interjeksi, pujian kepada tuhan,membandingkan, mengapresiasi, membanggakan objek, dan kelakar. Tindak tuturcelaan dari segi penutur yang terdapat dalam media sosial yang banyak ditemuiadalah pujian dengan bentuk apofasis, unuendo, ironi, dan sarkasme. Selain aspekdibidang pemerintahan, yang menjadi objek pujian dan celaan, yaitu kondisi fisik,religi, moral, mental, popularitas, dan integritas. Selain aspek dibidangpemerintahan, yang menjadi objek pujian dan celaan, yaitu kondisi fisik, religi,moral, mental, popularitas, dan integritas. Kata-kata kunci: tindak tutur, ekspresif pujian, ekspresif celaan
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".