Contrasting Socio-Economic and Demographic Profiles of Two, Small Island, Economic Species: MIRAB versus PROFIT/SITE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The MIRAB model developed by Bertram and Watters, based on remittances and aid, has dominated the small island economy literature for two decades. Recently, two challenges have surfaced: the PROFIT formulation emphasizing domestic policy flexibility - a socalled ‘resourcefulness of jurisdiction’ - and a dynamic private sector (Baldacchino, 2006); and the SITE model, stressing the role of tourism (McElroy, 2006). To date, there has been no comparative assessment of these different island models. This article addresses this gap. Its point of departure is to consider SITE islands as a subspecies of the PROFIT cluster. It constructs comprehensive profiles across 27 socio-economic and demographic variables for two island sub-groups with populations of less than three million: 23 MIRAB and 35 PROFIT-SITE. Results indicate PROFIT-SITE islands are much more affluent, socially advanced and demographically mature than their MIRAB counterparts.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it