Conceptualizing Vulnerability among Tanzanian School Children
Bibliographic record
Abstract
Over the past two decades Tanzania has experienced an increase in the number of vulnerable children and it has become a major issue of concern among educators, researchers, policymakers and communities which are highly impacted by this phenomenon. Due to the complexity of vulnerability among school children in Tanzania, this paper focuses on vulnerable children defined as being at high risk of either dropping out of school or facing academic failure due to vulnerable conditions which include, poverty, orphanhood, streetism, child abuse, and hostile family conditions. Hence, drawing from a Tanzanian perspective, this paper examines the conceptualization of vulnerable children and the factors that render them vulnerable. It also evaluates how Tanzanian schools could be of support to this population of children so that they could become successful in their education as a means to end vulnerability. The paper establishes that while the Government of Tanzania has done a lot in ensuring that every Tanzanian child has access to quality education, there are questions about the extent to which vulnerable children are catered to in the public education system. The paper also notes the lack of literature on what Tanzanian schools practically do in support of this growing population of children. To fill this vacuum, the paper analyzes several studies conducted in other countries with similar challenges and offer suggestions for what could be done by Tanzanian educators to improve the learning process and academic achievement for their vulnerable student population.
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.
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 | 0.001 |
| 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 | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".