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Record W2004813345 · doi:10.7202/016106ar

From the Bush to the Village in Northern Saskatchewan: Contrasting CCF Community Development Projects

2007· article· en· W2004813345 on OpenAlexvenueaboutno aff
David M. Quiring

Bibliographic record

VenueJournal of the Canadian Historical Association · 2007
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHuman settlementUrbanizationGeographyBayEnvironmental planningPolitical scienceEnvironmental protectionEconomic growthArchaeology

Abstract

fetched live from OpenAlex

The election of the CCF in 1944 brought rapid change for the residents of northern Saskatchewan. CCF initiatives included encouraging northern aboriginals to trade their semi-nomadic lifestyles for lives in urban settings. The establishment of Kinoosao on Reindeer Lake provides an example of how CCF planners established new villages; community development processes excluded local people. Yet, in spite of considerable resistance, various incentives and coercive measures resulted in the movement of nearly all northerners to permanent settlements. A very different community development project unfolded at Cole Bay in the 1960s. Early CCF urbanization projects had missed several hundred Métis people in the remote Canoe Lake area of northwest Saskatchewan. The creation of the Cold Lake Air Weapons Range in the 1950s resulted in the Métis losing access to much of their traditional land. With guidance from Ray Woollam, an influential CCF official, local people actively participated in designing and building their community. This study of urbanization in northern Saskatchewan adds to the literature on relocations and community development in northern Canada and beyond. In addition, it provides information about CCF aboriginal and northern policies.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
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 head0.036
GPT teacher head0.296
Teacher spread0.259 · 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 designObservational
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

Citations8
Published2007
Admission routes2
Has abstractyes

Explore more

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