“It’s hard to speak Filipino, why is that?” a case study among non-Filipino speakers
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
Environment plays an important role in developing language fluency. The environment includes the geographical location and significant people like parents, siblings, friends, and teachers. Geographically, the dialects fluently spoken at Central Philippine Adventist College are Hiligaynon, Cebuano, and English. As observed, the pupils of Central Philippine Adventist College Elementary School (CPACES) struggle with Filipino language fluency. Many cannot speak the Filipino language fluently which challenges their learning in classes using the Filipino language as a medium of instruction. This study aimed to determine the difficulties in speaking the Filipino language fluently among CPACES pupils. Purposive sampling was used. Five pupils were interviewed using validated guided questions. This study utilized a qualitative case study design. Specifically, the framework of Ranan was employed to analyze the data. The study found that the mother tongue of the CPACES non-Filipino speakers is English, and they had not been exposed to the Filipino language. This non-exposure and the absence of somebody motivating them to speak Filipino have led the participants' to hardly understand Filipino. Further, their parents did not introduce Filipino learning materials and do not speak Filipino. So, to help CPACES non-Filipino speakers to become fluent in Filipino language, parents and significant people surrounding them must intentionally use Filipino at home and school, and find ways to access Filipino reading materials, and converse with them using the Filipino language.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it