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Record W3212530426 · doi:10.25607/obp-1673

National Inuit Strategy on Research.

2018· article· en· W3212530426 on OpenAlexaboutno aff

Bibliographic record

VenueIOC of UNESCO (Intergovernmental Oceanographic Commission) · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPolitical scienceHistory

Abstract

fetched live from OpenAlex

Strong public policies, informed by the best available evidence, can support optimal outcomes for Inuit that in turn benefit all Canadians. However, colonial approaches to research endure in Canada that prevent Inuit from making decisions about research activity in our homeland, such as setting the research agenda, monitoring compliance with guidelines for ethical research, and determining how data and information about our people, wildlife, and environment is collected, stored, used, and shared. In this time of reconciliation, research governance bodies, policies, and practices must be transformed to respect Inuit self-determination in Inuit Nunangat research. Advancing Inuit governance in research is imperative for enhancing the efficacy, impact, and usefulness of research for Inuit. This requires governments and research institutions to partner with Inuit representational organizations to implement engagement processes that respect the role of Inuit in decision-making when it comes to research involving our people, wildlife, and environment. This must occur at the regional, national, and international levels of Inuit governance. Since the 1990s, the Government of Canada has allocated hundreds of millions of dollars for research taking place in Inuit Nunangat, which is the Inuit-preferred name of the geographic, political, and cultural region whose various descriptions include “the Arctic”, “North”, and “North of 60” – none of which accurately encapsulate the Inuit homeland. The current investments in Inuit Nunangat research reflect a biological-physical science research bias that diminishes the prominence and attention given to other Inuit research priorities, such as health and social science. Moreover, federal research funding eligibility criteria tend to exclude Inuit representational organizations from accessing funding as lead institutions or principal investigators. This coupled with the absence of a university in Inuit Nunangat contributes to the continued domination of Inuit Nunangat research by non-Inuit researchers based outside of Inuit Nunangat. The purpose of the NISR is to address these challenges through coordinated actions that enhance the efficacy, impact, and usefulness of Inuit Nunangat research for Inuit. The NISR is domestic in scope yet it also acknowledges the international dimension of research on Inuit Nunangat. The objectives and actions that ITK is committed to implementing in partnership with Inuit representational organizations, governments, and research institutions, fall within five priority areas: 1) Advance Inuit governance in research; 2) Enhance the ethical conduct of research; 3) Align funding with Inuit research priorities; 4) Ensure Inuit access, ownership, and control over data and information; and 5) Build capacity in Inuit Nunangat research. The interrelated, interdependent nature of these priority areas requires a holistic, coordinated approach to implementing actions and evaluating progress. The NISR is intended to reach the stakeholders, such as governments, academia, and other research institutions, involved in Inuit Nunangat research. Inuit have brokered positive, mutually beneficial relationships with researchers and are also undertaking research ourselves. There is growing recognition within the research community about the partnership role that Inuit must play in Inuit Nunangat research. At the same time, important transformations must occur at the policy level for Inuit to achieve self-determination in research. Through the NISR, ITK will build on these advances, utilize existing governance processes and broker new partnerships to meet the needs of Inuit in 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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.100
GPT teacher head0.439
Teacher spread0.339 · 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

Citations92
Published2018
Admission routes1
Has abstractyes

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