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"This Is the Life” : Women’s Role in Food Provisioning in Paulatuuq, Northwest Territories

2016· book· en· W2549482833 on OpenAlexfundaboutno aff
Zoe Todd

Bibliographic record

VenueAberdeen University Research Archive (Aberdeen University) · 2016
Typebook
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersFisheries Joint Management Committee
KeywordsProvisioningGeographyTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Given the high cost of store-bought foods, hunting and fishing are vital to household food security in Paulatuuq 1 , a small Arctic community in the Northwest Territories.Traditional harvesting activities do more, however, than address nutritional needs, sometimes generating a surplus that can be shared with extended family and friends.These activities are crucial to a sense of continuity, providing opportunities for Paulatuuqmiut to connect with memories of the past, to create and sustain relationships with other people and with the environment, and to pass knowledge along to children and grandchildren.Contrary to long-standing ethnographic assumptions to the effect that men hunt, while women gather and process, women in fact take an active part in household food provisioning.All the same, women's knowledge of the environment and their role in household economies 1 The standardized English spelling of Paulatuk is employed by federal, territorial, regional, and municipal government bodies to describe the hamlet.However, locally, Paulatuuqmiut prefer the use of the Siglitun spelling, Paulatuuq, in describing the community.Throughout this chapter I employ Paulatuuq when referring to the community, but where I refer to governance bodies that employ the English spelling of the hamlet's name, I employ the -uk suffix.

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)0.002
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: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.802

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0270.015
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.301
Teacher spread0.270 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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