Bibliographic record
Abstract
Ive always loved how my lifes twists and turns usually come back full circle. This story starts in 1990 when Harry Baglole, then Director of UPEIs Institute of Island Studies (IIS), hired international environmental consultant James Ramsay to produce a report: International Small Islands Research: The Global Context and Is There a Role for the Institute of Island Studies? (August 1990). Based on Jamies findings, the Institutes Advisory Board concluded that, yes, indeed, there WAS a role for the IIS and thus began ourforay into comparative island studies that explore our own island through the lens of other islands. The report led to such initiatives as the North Atlantic Islands Programme, out of which came the ongoing biennial North Atlantic Forum (this year held in Hlar, Iceland); the Canada Research Chair in Island Studies (held by Dr. Godfrey Baldacchino); the academic programs at UPEI, including a Minor and Master of Arts in Island Studies (MAIS); Island Studies Journal; numerous books and other publications; academic conferences, including hosting Islands of the World VII in 2002; and, of course, our longtime association with ISISA and the Small Island Cultures Research Initiative (SICRI). It also led to a life-long friendship with the Ramsay family, marked by many a corn roast on Keppoch Beach when theyd return to Jamies partner Janes PEI birthplace each summer.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".