Teacher Mentorship and Support in Kenya: A Desktop Review
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
Teacher mentorship and support programmes enable teachers to engage in ongoing professional learning and develop required competencies. This exploratory study was designed to provide baseline information on existing teacher mentorship and support programmes in Kenya. The study sought to provide background information towards the implementation of participatory action research on the strengthening in-service teacher training (SITT) project funded by the International Development and Research Centre (IDRC). The study adopted an integrative and holistic approach that involved a review of government policy documents, circulars and reports, articles published in refereed journals and grey material to enable map existing teacher mentorship and support programmes in Kenya. The study sought to; describe the theoretical background of teacher mentorship and to document existing in-service teacher mentorship and support programmes in Kenya. Various in-service teacher mentorship and support programmes exist in Kenya. However, the majority of the programmes were funded and implemented by non-governmental organisations. The existing mentorship programmes were uncoordinated and lacked a follow-up mechanism, thus making them less effective.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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