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Record W4386330930 · doi:10.1515/9781772126693-007

5 Driving into Nowhere: Refugee Resettlement and Integration in Rural Canada

2023· book-chapter· en· W4386330930 on OpenAlexaboutno aff
Stacey Haugen

Bibliographic record

VenueUniversity of Alberta Press eBooks · 2023
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeGeographyPolitical scienceDevelopment economicsEconomicsArchaeology

Abstract

fetched live from OpenAlex

THE PHRASE "DRIVING INTO NOWHERE" can describe the experiences of refugee newcomers arriving in rural Canada for the first time.While speaking with Syrian refugees across the country, I heard stories of newcomers surprised by the immense space, frigid cold, and absolute quiet of rural places.Unfamiliar with Canadian geography and given little information about their destination, refugees were often unsure of their new communities.One Syrian man confided that upon arriving in Toronto, he was told that he would not be staying in the city but would be travelling north.Although he was assured that his family would be resettled in a rural community in southern Ontario, he was convinced that they were headed for Alaska.Another refugee family attempted to search the name of their destination in Google before they arrived.Unfortunately, the rural place they were headed to is so small that Google could not accurately locate it for them.Instead, the search engine suggested the community they were looking for was an urban centre in southern Ontario.With this information in hand, the family was more than a little surprised when they arrived in a small prairie town in the middle of February.These stories capture only a fraction of the surprise and uncertainty that characterize refugee resettlement and integration in rural

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.055
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0170.006
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.012
GPT teacher head0.180
Teacher spread0.168 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2023
Admission routes1
Has abstractyes

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Same venueUniversity of Alberta Press eBooksSame topicRural development and sustainabilityFrench-language works237,207