The Conversational Functions and Effects of Tagalog-English Code-Switching on Filipino Television
Bibliographic record
Abstract
Taglish is the code-switching or alteration between Tagalog and English within a single utterance. The prevalence of Tagalog-English code-switching in the Philippines results from the widespread use of both languages in Philippine educational institutions. This paper qualitatively analyzes the use of Taglish in spontaneous conversations and interviews in the Philippine magazine show Kapuso Mo, Jessica Soho (Your Heartmate, Jessica Soho) to identify the communicative effects of Tagalog-English code-switching in Filipino discourse. The results suggest the prevalence of code-switching as all 17 identified speakers in the study used both Tagalog and English in their speeches at varying degrees. Results also revealed the following communicative effects of code-switching: efficiency, message qualification, linguistic play, emphasis, objectivization, and personalization. Furthermore, code-switching facilitated the speakers’ identity construction, by representing factors such as wealth, success, authority, knowledge, and solidarity.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".