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Record W2403034496

Arctic Biodiversity and Inuit Health

2010· article· en· W2403034496 on OpenAlexaboutno aff
Cathleen Knotsch, James Lamouche

Bibliographic record

VenueuO Research (University of Ottawa) · 2010
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityArcticThe arcticGeographyOceanographyEcologyGeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

In this publication, we show the link between environmental change, based on Inuit perspectives and direct observations, and biodiversity, which is the sum of all living beings and things. We summarize the many changes Inuit have reported as impacting biodiversity, such as the appearance of insects formerly not seen, and at the same time examine how local knowledge is crucial to adapting to changes in biodiversity. Finally, we discuss the connection between biodiversity and Inuit health and why changes in Arctic biodiversity will mean changes to human life in the Arctic. Inuit have been reporting environmental changes in the Arctic, such as differences in sea-ice thaw and freeze-up, for years and several publications have documented these observations from various regions of the circumpolar world. The most comprehensive approach to document these observations in Canada is found in the book Unikkaaqatigiit — Putting the Human Face on Climate Change: Perspectives from Inuit in Canada (Nickels et al., 2006). Unikkaaqatigiit summarizes what Inuit have said about environmental change. It is also one of the first published records of Inuit adaptations to climate change in that it reports on how communities and individuals are responding to change and adjusting to it in their daily lives. The main findings in our report rely upon published materials on biodiversity. The core of this report is based on materials produced under international and national biodiversity programs and documentation of Indigenous insights into climate change. The tables provide hands-on examples of how local observations can be organized to have relevance in discussions of biodiversity. Changes in climate and weather events in the Arctic and their subsequent effects on the biological systems of the region have impacts on food security and economic well-being of Inuit. Limited access to caribou, seal, fish, berries and other ‘country foods’ leads to greater reliance on imported store-bought foods. Aside from a change in diet, which can be stressful for the human body, the transition from nutrient- dense country foods to less nutritious store-bought foods may have an even more significant impact on the health of Inuit, in the short and long term. The link between the loss of biological diversity and the parallel loss of cultural diversity is only now beginning to be recognized. The Arctic is homeland to Inuit, not only in Canada but circumpolar, and Inuit are the first to see and feel the changes in ice, water and land. The pace of change has quickened and we can observe changes in temperature, plant growth and wildlife behavior within several calendar years instead of over centuries. Changes to the living resources of the Arctic translate into rapid changes in the lifestyles of local human populations and increased stress on the health and well-being of Inuit. We hope that this publication and others like it will draw attention to the importance of biodiversity in the circumpolar Arctic and that the world will be guided by the knowledge and wisdom of Inuit regarding the homelands, environment and biodiversity upon which they rely.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.561
Threshold uncertainty score0.873

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.002
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.095
GPT teacher head0.409
Teacher spread0.314 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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