The Problem of Dormitory Schools as Human Resources Development for Native Papuan Children, Indonesia
Bibliographic record
Abstract
This paper aims to examine the effect of government policy variables, continuance commitment, school image, and parents' aspirations on dormitory school performance. Data collection is done by distributing questionnaires to teacher respondents, interviews, and focus group discussions. The study found that government policies and continuance commitment had a positive influence on school performance, while the school image variables and the aspirations of parents did not have a positive influence. A more coordinated and synergic operational mechanism is needed between the government (central, provincial, district) and schools to improve dormitory school performance. The government needs to give priority to honorary teachers in recruiting workers with work agreements (PP No. 48/2018), by not implementing a system of employment agreements (contracts), but as non-ASN permanent teachers who get salary / wages in accordance with applicable regulations (recommended based on regional minimum wages), the right to take competency tests and get teacher professional allowances, family health insurance, leave rights, capacity building training, and others.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".