Accounting education, training and the profession in the Commonwealth Caribbean: Integration or internationalisation?
Bibliographic record
Abstract
In light of the January 2006 inauguration of the Caribbean Single Market and Economy (CSME), regional accountants now face the challenge of reshaping the system of professional education and training inherited from the UK-based ACCA at independence or transferred to the Caribbean economies by the American-based CPA and the Canadian-based CGA after independence, in order to better serve the socio-economic needs of Caribbean economies. This paper therefore examines the way forward for the professional education and training in accountancy in the context of the now independent post-colonial developing economies of the Caribbean. Given the structural, economic and social deficiencies deriving from their colonial history, these countries need to move away from the externally derived model of accounting education and its legacy of inappropriate content, methodology and pedagogy. Available evidence suggests that the integration of the accountancy profession could aid and accelerate the successful operation of the Caribbean Single Market and Economy. In fact, such evidence suggests that the integration of the accounting profession represents the preference of the people of the Commonwealth Caribbean. In addition the evidence suggests that the integration of the profession could contribute significantly to the projection of a Caribbean identity, to economic development and could ultimately make a major contribution to the survival of the Commonwealth Caribbean economies in the global economic system.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".