MétaCan
Menu
Back to cohort
Record W2022537929 · doi:10.1177/1474474014561576

Between islands of ethnicity and shared landscapes: rethinking settler society, cultural landscapes and the study of the Canadian West

2014· article· en· W2022537929 on OpenAlexaboutno aff
Jeff Oliver, Ágústa Edwald

Bibliographic record

VenueCultural Geographies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersUniversity of AberdeenLeverhulme Trust
KeywordsScholarshipMulticulturalismHistoriographyEthnic groupAgrarian societySociologyColonialismHuman settlementSettlement (finance)Cultural historyContext (archaeology)TransnationalismGender studiesAnthropologyHistoryPoliticsArchaeologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article reviews and rethinks the study of cultural landscapes in the context of western Canadian settlement history. The historiography of scholarship on the colonial period, across a broad array of disciplines, follows themes central to the study of continuity and change in settler societies, including assimilation, cultural revivalism and transnationalism. Influenced by historical conditions particular to the region, namely, the creation of migrant block settlements and a legacy of multiculturalism, research has had a longstanding commitment to an ethnic history paradigm, which tends to orient our understanding of the cultural landscape in terms of what Brubaker and Cooper have called ‘identity history’. We argue that by focusing on relationships rather than boundaries, future research on the cultural dimension of settlement might move beyond ethnic history through investigating the possibilities of shared landscapes and communities of practice, built on the back of finding common material solutions to the problems of agrarian life.

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 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 score0.389
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.246
Teacher spread0.228 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCultural GeographiesSame topicCanadian Identity and HistoryFrench-language works237,207