Bibliographic record
Abstract
The island studies community has had much relevant material to read and contemplate of late; and will soon have more.Three panels were convened at the 2010 annual meeting of the wellattended Association of American Geographers (April 2010), held in Washington DC, USA, to 'rethink islandness': discursive spaces and tidalectics in island worlds.Our sister 'island studies journal', Shima, has just published (as Vol. 4, No. 1) a guest edited collection of papers -the first of three being planned -dedicated to the archaeology of small islands.Perspectives in Plant Ecology, Evolution and Systematics, a specialist natural science journal, has just published a special issue (as Vol. 12, No. 2) dedicated to comparative ecological research on oceanic Islands.Following in May is a special guest-edited issue of the journal Space and Culture (as Vol. 13, No. 2), dedicated to Postcolonial Islands.New Literatures Review (NLR), published by the University of Tasmania, Australia, has an island studies special this year, and which will include a seminal and thought-provoking 'critical survey of island studies" by Lisa Fletcher.In June, the Small Island Cultures Research Initiative (SICRI) convenes its now annual international conference on small island cultures on Guernsey, Channel Islands.Also in June, a workshop on 'Branding Islands and Small States' is being held in the Isle of Man.Then, in August, we look forward to three international conferences.The first is the biennial conference of the International Small Islands Studies Association (ISISA), its eleventh, being held in Bornholm, Denmark; to be followed in hot pursuit by the second international conference of the Islands Commission of the International Geographical Union (IGU) on the smaller island of Ven, Sweden.Over a hundred scholarly papers will be presented at these two events.The third is scheduled for Ambon, Indonesia, where an international small islands conference will convene to discuss how to "save small islands from global warming".We would have had yet another international island studies conference, hosted this time in Madeira, Portugal, in July by the Centre for the Study of Atlantic History (CEHA), were it not for serious floods on that island last winter which diverted the conference budget to more needy pursuits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.463 | 0.302 |
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".