Jamaica's Higher Education Committment under the GATS
Bibliographic record
Abstract
This research seeks to answer two questions: why did Jamaica include its higher education (HE) sector in its General Agreement on Trade in Services (GATS) ‘Schedule of Commitments’; and, how do the politicians and policy makers view the impact of this decision? For answers, I looked at arguments linking the GATS with national development and with HE. The thesis explores Jamaica’s HE policy strategies, how they are formed, how well, even after the fact, the decision-makers understand the implications of the regulatory framework of the GATS and the loss of control implicit in some of its tenets. This study is anchored in research findings by UNESCO and the World Bank, among others, which show that HE systems serve as the foundation for nations’ social and economic development, in providing the required knowledge and high levels of trained manpower to build their human capital. However, suggestions have been made that inequities in the global trading system constrain small developing countries in implementing policies that serve these objectives. Therefore, the emergence of the GATS as a new regulatory structure for trade in educational services raises concerns about the ability of countries like Jamaica, to promote an HE system likely to meet their needs. iii Twenty senior policy actors within Jamaican society were interviewed to elicit their views on national priorities for HE and, the opportunities or threats to their fulfilment presented by the GATS Commitment. Of particular interest is the growth in cross-border HE services found in Jamaica. The research found that notwithstanding the inequities of the global trading system, Jamaica embraces the concepts of liberalisation and free trade, and its negotiators, in formulating the Commitment, were seized with GATS’ potential for rapidly expanding access to HE. However, the evidence of this research suggests they were ill-prepared to make this decision, and clearly there is need for a better understanding of the role of HE in Jamaica’s development.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".