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Record W3015104460 · doi:10.21463/shima.14.1.08

An Icy Layer of Isolation: Prince Edward Island’s Sea-Bound Particularity

2020· article· en· W3015104460 on OpenAlexaboutno aff
Hans Connor, Laurie Brinklow, Adam Fenech

Bibliographic record

VenueShima · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsIsolation (microbiology)Layer (electronics)OceanographyGeologyAncient historyAstrobiologyHistoryPhysicsBiologyNanotechnologyMaterials scienceBioinformatics

Abstract

fetched live from OpenAlex

1 The1 types1 and1 degrees1 of1 insularity1 experienced1 in1 islands1 provide1 considerable1 material1 for1 academics.1 In1 the1 case1 of1 Prince1 Edward1 Island1 (PEI),1 being1 an1 Island1combined1with1the1isolation1caused1by1sea1ice1covering1the1waters1around1PEI,1has1 impacted1Islanders'1sense1of1relative1insularity.1Even1after1the1construction1of1a1fixed1link1 to1 the1 mainland,1 Islanders1 continue1 to1 relish1 in1 a1 sense1 of1 distinctiveness1 linked1 to1 their1 Island1condition.11Since1European1settlement,1PEI's1sea1ice1barrier1has1periodically1cut1off1 channels1of1communication1and1transportation1resulting1in1many1societal1effects.1As1ocean1 temperatures1rise1due1to1Climate1Change,1ice1conditions1are1changing,1bringing1with1them1 increased1coastal1erosion1and1other1effects.11This1article1investigates1PEI's1relationship1with1 its1frozen1sea:bound1particularity.11Drawing1upon1the1Island's1history,1culture,1and1climate1 data,1as1well1as1from1the1field1of1Island1Studies,1the1article1asks1the1question:1how1has1this1 'icy1 layer1 of1 isolation'1 affected1 Islanders'1 sense1 of1 place1 over1 time?1 And1 what1 are1 the1 potential1implications1of1the1effects1of1Climate1Change1for1PEI?111 " "

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.008
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.015
GPT teacher head0.226
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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