National Debt and Public Education in Jamaica: "Glocal" Challenges and Responses
Bibliographic record
Abstract
This dissertation is a transnational case study, designed to capture how structural adjustment and austerity have affected public primary schooling in Jamaica, and the response(s) of alumni associations in the Torontonian-Jamaican Diaspora to this phenomenon. Using ethnography, auto-ethnography and semi-structured interviewing qualitative methodologies, data were collected in a rural primary school in Hanover, Jamaica in order to ascertain the everyday experience narrative of structural adjustment. Subsequently, semi-structured interviews were conducted in the Greater Toronto Area in order to determine how and why members of the schools alumni association support the school through group educational remittances. Framed by an anti-colonial discursive framework, this study explicates the transnational-diasporic nature of public schooling and draws attention to the Government of Jamaicas inability to provide an adequate and appropriate public school program, as well as its controversial tendency to claw back funding from schools who have active alumni associations abroad. This dissertation also provides a window into the efficacy/inefficacy of non-financial educational remittances which, although well-intended, are, sometimes, more harmful than helpful to their recipients. In contrast to this, the everyday tenacious hope that exists at the poorly resourced primary school that was selected for this study is illuminated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".