Professional impotence: Impact of alcoholism on secondary school teachers in Uganda
Bibliographic record
Abstract
Rukundo A. & Magambo J. (2013). Professional impotence: Impact of alcohol abuse on secondary schoolteachers in Uganda. International Journal of Alcohol and Drug Research, 2(2), 69-74. doi: 10.7895/ijadr.v2i2.104 (http://dx.doi.org/10.7895/ijadr.v2i2.104)Aims: We conducted this study to explore the impact of alcohol consumption on teachers’ jobs in Uganda. Specifically, we investigated the types of alcohol consumed by schoolteachers, reasons for alcohol abuse among teachers, justifications for mixing different types of drinks while drinking, and the effects of alcohol abuse on secondary schoolteachers. Design: Cross-sectional, descriptive.Participants: We involved 54 teachers (79.6% males and 20.4% females) in focus group discussions (FGDs) and four teachers (all male) in in-depth interviews.Measurement: Interviews were conducted to validate the data from FGDs as done by vanTartwijk, den Brok, Veldman and Wubbels (2008). Thematic analysis was employed to describe themes and emerging trends.Results: Data gathered from both in-depth interviews and FGDs show that teachers in Uganda drink a variety of “local” and “exotic” types of alcohol, for a variety of reasons. Results also indicate that during drinking sessions, teachers mix drinks for different reasons, but mainly to increase or decrease the potency of alcoholic drinks, depending on their types. All participants mentioned that over-consumption of alcohol negatively affects the teacher’s job and career in ways that include poor performance, neglect and loss of job.Conclusion: While teachers in Uganda drink many types of alcohol for apparently “good” reasons, those teachers who over-drink eventually fall into job inefficiency.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".