Reality of Linguistic Competencies of Pre-Service and In-Service Female Physical Education Teachers in the Sultanate of Oman
Bibliographic record
Abstract
This study aims to identify the acquisition of linguistic competencies by pre-service physical education teachers at the College of Education, Sultan Qaboos University, and in-service physical education teachers in Muscat and Dhofar Governorates in Oman, as well as any statistical differences between these two groups. The population of the study consisted of 30 pre-service teachers and 28 in-service teachers. The observation card instrument was used to collect data. The results showed that the acquisition level of the linguistic competencies of pre-service physical education teachers was medium. However, the acquisition level of the linguistic competencies of in-service physical education teachers was high. Furthermore, there were significant differences between the acquisition level of linguistic competencies in pre-service and in-service teachers in favor of in-service teachers. Based on these findings, we recommend developing these competencies in pre-service teachers during the teacher education program by focusing particularly on planning, implementation, and assessment.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".