Strategies for Enhancing the Productivity of Secondary School Teachers in South West Region of Cameroon
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
This study investigates strategies used by principals for enhancing the productivity of secondary school teachers in selected government secondary schools in Cameroon. Four major strategies were examined. These include motivation, conflict resolution, supervisory and communication strategies and the extent to which they influence teachers’ productivity. Four research questions and hypotheses guided the study. Questionnaire was used to collect data from 350 teachers selected from a population of 1400 teachers in government secondary schools in Fako Division of the South West Region of Cameroon. The multi-stage sampling technique was used to select teachers for the study. Results showed that, principals’ communication, conflict management, supervisory and motivation strategies influence the productivity of teachers in Government Secondary Schools. Of the four strategies examined, conflict management strategy was found to have more influence on the productivity of teachers. Principals’ strategies have a direct relationship with teachers’ productivity. Therefore, there is a possible correlation between principals’ leadership and management strategies, teachers’ productivity and school effectiveness. In addition, effective collaboration amongst teachers is necessary for teachers’ effectiveness. It is recommended that principals should put in strategies that will enhance effective communication, conflict management, motivation and supervision to improve on the productivity of teachers.
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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 | 0.002 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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