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Record W2950364436 · doi:10.54656/daks8546

Navigating International, Interdisciplinary, and Indigenous Collaborative Inquiry

2011· article· en· W2950364436 on OpenAlexaboutno aff
Olga Ulturgasheva, Lisa Wexler, Michael J. Kral, James Allen, Gerald V. Mohatt, Kristine Nystad

Bibliographic record

VenueJournal of Community Engagement and Scholarship · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsParticipatory action researchIndigenousTransformative learningNegotiationSociologyCircumpolar starCitizen journalismAction researchFace (sociological concept)Traditional knowledgeCommunity-based participatory researchPublic relationsEngineering ethicsPolitical sciencePedagogySocial scienceEngineeringAnthropologyEcology

Abstract

fetched live from OpenAlex

This report describes how multiple community constituents came together with university researchers to develop a shared agenda for studying young indigenous people in five international circumpolar communities. The paper focuses on the setup and process of an initial face-to-face methodological planning workshop involving youth and adult community members and academics. Members of Yup’ik, Inupiat, Eveny, Inuit, and Sámi communities from Siberia to Norway participated in the workshop and engaged in negotiations to arrive at shared research interests. This was essential since the ultimate goal of the research is translational and transformative, spurring social action in communities. Describing the beginning stage of this project and the underlying participatory methodology offers insight into how the approach engaged community members with varying degrees of sustained interest and practical success. It, therefore, articulates a methodological approach for international community-based participatory research.

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)0.080
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.425

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0230.030
Scholarly communication0.0180.012
Open science0.0030.024
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.540
GPT teacher head0.540
Teacher spread0.000 · 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.

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

Citations14
Published2011
Admission routes1
Has abstractyes

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