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Record W4412240531

Community of Practice in the Arctic: Patient engagement in Greenland and the Northwest Territories:Panel

2019· article· en· W4412240531 on OpenAlexafffundabout
Christina Viskum Lytken Larsen, Christine Ingemann, Ingelise Olesen, Kimberly Fairman

Bibliographic record

VenueUniversity of Southern Denmark Research Portal (University of Southern Denmark) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsInstitute for Circumpolar Health Research
FundersJapan Agency for Marine-Earth Science and TechnologyJoint Research CentreCanadian Space AgencyBureau of Educational and Cultural AffairsNational Oceanic and Atmospheric AdministrationBusiness FinlandRannísNational Institute of Polar ResearchUniversity of Massachusetts AmherstGlobal Affairs CanadaUniversity of TokyoSyddansk UniversitetNaturvårdsverketNorges ForskningsrådFulbright CanadaKungliga Tekniska HögskolanAalto-YliopistoInternational Arctic Science CommitteeHáskóli ÍslandsDeakin UniversityTrent UniversityStockholm Environment InstituteMinistry of Education, Culture, Sports, Science and TechnologyHokkaido UniversityUniversity of the Highlands and IslandsEuropean External Action ServiceNational Science FoundationUniversity of WashingtonEuropean Space AgencyUniversity of New EnglandLomonosov Moscow State UniversityMet OfficeInternational Institute for Applied Systems AnalysisUniversity of the ArcticHáskólinn á AkureyriScottish GovernmentDanmarks Tekniske UniversitetGovernment of CanadaUniversity of BernUS-UK Fulbright CommissionHelsingin YliopistoEuropean CommissionLandbúnaðarháskóli ÍslandsChalmers Tekniska HögskolaSasakawa Peace FoundationLapin YliopistoOncology Nursing Society Foundation
KeywordsArcticThe arcticGeographyPhysical geographyOceanographyGeology
DOInot available

Abstract

fetched live from OpenAlex

Arctic Circle: associations, institutions, governments, companies, organizations, think tanks, universities, or other bodies.

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)0.014
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0060.001
Scholarly communication0.0040.003
Open science0.0020.006
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.124
GPT teacher head0.347
Teacher spread0.223 · 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 designQualitative
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
Published2019
Admission routes3
Has abstractno

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