MétaCan
Menu
← Back to cohort
Record W7015696265

Understanding the Role of Researchers in Engaging and Communicating Sciences with Inuit Youth

2022· dissertation· en· W7015696265 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2022
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDelphi methodScience communicationWork (physics)Public engagementDelphiPublic awareness of science
DOInot available

Abstract

fetched live from OpenAlex

Over the past decade, Inuit and non-Inuit researchers have worked in partnerships to conduct research that give voice to non-Western knowledge systems. However, studies show that although many researchers demonstrate a keen interest in engaging with Inuit youth, they often lack the resources and communication skills to do so. This study aims to assess the perspectives of experts on the role of researchers in engaging and communicating sciences with Inuit youth. This study was conducted using semi-structured interviews and a modified Delphi method to explore the perspectives of experts, including researchers, educators, members of Inuit organizations, public servants, and communication specialists. Findings show that the role of researchers in engaging and communicating sciences with Inuit youth is to build relationships based on trust, to work in the spirit of co-creation, to create opportunities for research capacity building, and to develop resources to support meaningful youth engagement in Arctic 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)0.074
metaresearch head score (Gemma)0.072
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 score0.978
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0740.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0220.021
Scholarly communication0.0190.012
Open science0.0030.017
Research integrity0.0050.006
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 head0.162
GPT teacher head0.251
Teacher spread0.089 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Atrium (University of Guelph)→Same topicDiverse Scientific and Economic Studies→French-language works237,207→