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Record W1547983056 · doi:10.7202/016149ar

Inuit gender parity and why it was not accepted in the Nunavut legislature

2007· article· en· W1547983056 on OpenAlexaffvenueabout
Laakkuluk Jessen Williamson

Bibliographic record

VenueÉtudes/Inuit/Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsNunavut Research Institute
Fundersnot available
KeywordsLegislatureParity (physics)PoliticsGender studiesEgalitarianismPolitical scienceRepresentation (politics)Human sexualitySociologyLaw

Abstract

fetched live from OpenAlex

In this article, the historical circumstances that led up to the 1997 non-binding plebiscite on gender parity in what was soon-to-be Nunavut are considered. Firstly, traditional gender egalitarianism and fluidity in Inuit culture are described and exemplified by the values instilled in language, naming system, gendered roles and sexuality. Then, the political circumstances around the establishment of Nunavut and the way gender is played out on a political level are taken into account. The barriers against women in the electoral system are analysed and the arguments made for and against creating gender parity are evaluated. The vote on gender parity and the reasons why gender parity was finally rejected are reflected on. In the second part, the manners in which various organisations outside of government interact in order to address gender issues are scrutinised. Political and artistic bodies that represent women within Nunavut are contrasted against an organisation that contains Inuit men's voices, but does not represent them. Paradoxically, Inuit men still garner far more representation in the Legislative Assembly of Nunavut while at the social level they suffer more than women who are themselves more economically stable. The article ends with a discussion on the future of gender issues in Nunavut including the views held amongst Inuit youth on the topic.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.104
GPT teacher head0.389
Teacher spread0.286 · 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 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

Citations19
Published2007
Admission routes3
Has abstractyes

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