Prince Albert's concern over Malta's urbanisation
Bibliographic record
Abstract
The Games of the Small States of Europe (GSSE) early in June heralded greater benefits to the country than meets the eye. With everyone (and rightly so) harping on the Maltese athletes' success in these games, I will be one of the few to underscore what Prince Albert of Monaco said on his visit to the island for the games, expressing his concern that Malta could "get to be too much like other regions of the Mediterranean". He cautioned against "overcrowding the island" - sweet words indeed for our rapacious land developers and condescending authorities. With a population density of almost 20,000 per km squared, Monaco knows a thing or two abut overcrowding - quite predictably, however, Prince Albert's words will be dismissed by our authorities as nothing more than diplomatic and polite words of advice with no clout at all. A case in point is the ludicrous statement by former Tourism Minister Michael Refalo in which he dismissed Prince Albert's statement by saying that "he should be told that more than two-thirds of Malta is purely virginal". Dr Refalo can certainly toy with tourist statistics but he is certainly no authority on land-use.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.005 |
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".