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Record W1713717319

Inuit Circumpolar Conference, en till synes avvikande NGO - En fallstudie av en ursprungsbefolknings organisering kring miljöfrågor och deras sociala och kulturella rättigheter

2008· article· sv· W1713717319 on OpenAlexaboutno aff
Pernilla Hjerth

Bibliographic record

VenueLund University Publications Student Papers (Lund University) · 2008
Typearticle
Languagesv
FieldSocial Sciences
TopicSocial and Educational Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsCircumpolar starPoliticsPopulationPolitical scienceThe arcticGeographySociologyEthnologyLawOceanography
DOInot available

Abstract

fetched live from OpenAlex

With ever-increasing environmental problems in the world, I have with this thesis aimed at studying how the Inuit people of the Arctic organize themselves around the issue of environmental degradation. In focus for this thesis is the organization Inuit Circumpolar Conference (ICC), an NGO that focuses on saving and protecting the social and cultural rights of the Inuit people, along with the environment in the four arctic regions. This aboriginal population has a strong connection to the environment they dwell in, as the area serves as a source of income and nutrition as well as an historically important place for their culture. I will in this thesis primarily investigate the methods of operation amongst NGOs, as well as their ability to influence and interact with the UN. These are three concepts that I, as a hypothesis, considered to distinguish ICC from other NGOs. With help from three theories about NGOs, I conclude that certain central elements of ICC differ from the average NGO, making ICC a new kind of actor in global politics.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.002
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.002

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 head0.019
GPT teacher head0.250
Teacher spread0.230 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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