Bibliographic record
Abstract
Local environmentalists must have received a boost in recent weeks following the landmark court decisions on two important issues. Mr Justice Anthony Ellul set the house on fire by ruling that caravan owners permanently parked at Little Armier have no legal title to the land and that they should be evicted so that the immediate foreshore remains in the public domain. However, the ruling will probably not spell the end of the decades-long saga at L-Aħrax, where the thousands of squatters will use their lobby’s sheer electoral weight as their trump card. In fact, Prime Minister Joseph Muscat was quick to say he will seek legal advice before acting on the ruling and that the ruling can always be appealed. For those who have campaigned long and hard to see all squatters evicted from L-Aħrax, this statement comes as a slap in the face. Muscat should realise that the historic opportunity of finally making L-Aħrax ‘tagħna lkoll’ once again is too good to waste. If this wasn’t enough, the illegal caravan owners have demanded an alternative site to which they can be transferred. Such ‘compensation’ should not even be discussed or considered since, if granted, it would set a dangerous precedent that a law-flouting lobby can always be accommodated if it is large enough.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.012 | 0.016 |
| Insufficient payload (model declined to judge) | 0.104 | 0.023 |
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".