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Record W2597643623

A funny thing happened on the way to the Galapagos

2013· article· en· W2597643623 on OpenAlexaboutno aff
Laurie Brinklow

Bibliographic record

VenueeCite Digital Repository (University of Tasmania) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)FriendshipMinor (academic)The artsLibrary scienceHistoryGeographySociologyArchaeologyPolitical scienceLawSocial science
DOInot available

Abstract

fetched live from OpenAlex

<p>Ive always loved how my lifes twists and turns usually come back full circle.</p><p>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.</p>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.592
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.191
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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