Degree of Availability of Good Teacher Characteristics among the English Language (EL) Teachers of Basic Stage Schools from Their Principals’ Views in Tafila Governorate
Bibliographic record
Abstract
The study aimed to investigate the Degree of Availability of Good Teacher Characteristics Among English Language(EL) Teachers of Basic Stage Schools from Their Principals’ views in Tafila Governorate. This could be achievedthrough answering the following questions:1-What is the degree of availability of good teacher characteristics among English Language (EL) teachers of basicstage schools from their principals’ views in Tafila Governorate?2-Are there statistically significant differences attributed to the variables of teacher’s gender, and experience?.The sample consisted of (89) male and female teachers which forms about 55% chosen randomly from thepopulation of the study.The results showed that there is a significant difference attributed to gender and no significant difference attributed toexperience or to the interaction of experience and gender. The study found some recommendations.
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How this classification was reachedexpand
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".