The Challenge of Nissology:A Global Outlook on the World Archipelago Part II: The Global and Scientific Vocation of Nissology
Bibliographic record
Abstract
Islands are the rule and not the exception. One major objective for nissology- defined as the study of islands and islandness - in the 21st century should be to debunk the unfair prejudice that island studies’continues to suffer at present time. To do so, a systematic treatment of the island phenomenon needs to be undertaken and this should be backed up by substantial theoretical underpinnings. In seeking to turn the dominant continental paradigm on its head, islands not only deserve to be“studied on their own terms”; they also become the deus ex machina of a holistic understanding of the world archipelago and its ongoing globalization. This vision should contribute towards bridging the gap between'continentalists’who tend to consider islands only as epiphenomena of larger land trends. and 'island studies’practitioners. This paper,the second of two segments, focuses mainly on the contribution of islands to global cultural and biological diversity. and concludes with an appeal for a more rigorous, pan-epistemic treatment of island studies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".