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Record W6926938892 · doi:10.25607/obp-1758

National Inuit Climate Change Strategy.

2019· report· en· W6926938892 on OpenAlexaboutno aff

Bibliographic record

VenueIOC of UNESCO (Intergovernmental Oceanographic Commission) · 2019
Typereport
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changePolitical economy of climate changeContext (archaeology)Action (physics)Ecological forecastingFace (sociological concept)Global warmingCollective action

Abstract

fetched live from OpenAlex

We understand climate change in our homelands, and our leaders are responding to it. Inuit Nunangat is recognized as a global climate change hotspot, garnering national and global concern. We continue to emphasize that no one is more aware or concerned about the changes taking place in our homelands and their consequences than Inuit, as evidenced by our strident and effective advocacy for global action on climate change over the last three decades. We have an intimate understanding of how climate change is impacting the physical environment, and the wildlife and ecosystems that sustain us. We are deeply concerned about the complex impacts of climate change on our social, cultural and economic systems, and our health and well-being. Our vision and priorities must guide climate action that affects Inuit Nunangat Coordinated, effective action to mitigate and adapt to the impacts of climate change is essential. We are determined to actively shape climate policies and actions so that they are inclusive and effective for Inuit, improving our quality of life rather than adding to the socio-economic inequities we already face. We emphasize that we have critical contributions to make to climate policy and decision-making as rightsholders and knowledge-holders first and foremost. Our message is that for climate actions to be effective, appropriate, equitable, and sustainable for Inuit Nunangat, they must be in line with our collective Inuit vision for building the sustainability, prosperity, and well-being of our communities in the face of a changing climate. This vision and its context are described in detail in Part I of the Strategy.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.051
GPT teacher head0.291
Teacher spread0.240 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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