Islandness and Appreciating the Importance of the Rule of Law in a 21st Century Island Context: The Case of the Isle of Man
Bibliographic record
Abstract
Despite the vibrant and growing island studies scholarship exploring the unique characteristics of Islands and Islandness, which is both multidisciplinary and interdisciplinary, there has been little research into the unique characteristics associated with the appreciation of the Rule of Law and island identity in an island context. Similarly, although within legal scholarship there has been much exploration at international, European, and national levels of the importance of appreciation of the Rule of Law and its role in helping to reduce the risk of arbitrariness, there has been little consideration in an island context of why the importance of the appreciation of the Rule of Law matters. Building upon both fields of scholarship, the present article uses the Isle of Man as a lens to explore, firstly, why the importance of the appreciation of the Rule of Law in an Island context matters from a legal perspective. Secondly, how exploring the unique characteristics associated with the appreciation of the Rule of Law in an island context provides a greater understanding of the uniqueness of island identity and islandness. The present article is therefore a novel contribution to legal scholarly literature and a timely addition to island study literature.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.053 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".