Relationship between University of Malawi Selection Policy and Entrance of Education Graduates into the Teaching Profession
Bibliographic record
Abstract
Many stakeholders have attributed the decisions of education graduates who decline to enter the teaching profession after graduation, to the University of Malawi selection policy, and have called for the abolition of redirecting students to courses other than their choices. The purpose of this study was to measure the relationship between the University of Malawi selection ‘re-direction policy’ and ‘entrance of education graduates into the teaching profession’. Cross-section data were collected from the total population of education graduates from the University of Malawi, Chancellor College from 2005 to 2009 (n=760), through document analysis and structured interviews. Using the χ2 test, the calculated χ2 (1df) was 3.265, p = 0.071 denoting that the university selection policy and entrance of education graduates into the teaching profession were independent. The study concluded that whether education graduates entered or declined to enter the teaching profession after graduation did not depend on whether they chose or were redirected to education during their university selection.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".