AN ASSESSMENT OF PREPARATION LEVEL, SURVIVAL SKILLS, AND ENTREPRENEURIAL KNOWLEDGE AMONG RETIRED TEACHERS IN ZAMBIA
Bibliographic record
Abstract
This study investigated the preparation level, survival skills, and entrepreneurial knowledge among retired teachers in Zambia, as well as the success of their post-retirement business ventures. Descriptive survey design utilising both quantitative and qualitative methods were employed through use of questionnaires and semi-structured interviews. Convenient and purposive sampling techniques were utilised in sampling. The conclusion shows that most retired teachers lack survival and entrepreneurial skills to manage their business ventures. Lack of pre-retirement entrepreneurial training, lack of pre-retirement counselling, and poor planning for retirement life were found to be the major hindrances to retired teachers’ success in managing their business ventures. The article points to the need for major reforms in teacher training and in pensions scheme policies in Zambia to accommodate issues of financial literacy and entrepreneurial skills among teachers as a way of preparing teachers and other civil servants for life after formal employment.
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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 | 0.001 | 0.000 |
| 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 | 0.002 |
| 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".