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Record W2587466822

Beyond the City Limits: An Examination of Adjustment among Immigrants in Rural Canada

2007· article· en· W2587466822 on OpenAlexaboutno aff
Saba Safdar, Ted Fuller, Jack Lewis

Bibliographic record

VenueThe Atrium (University of Guelph) · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationGeographyPolitical scienceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The present research sought to investigate some of the key elements that are related to rural immigration in the province of Ontario where the experience of declining immigration to rural areas is typical for Canada. 104 immigrants living in rural Canada participated in the study. Those who reported a high level of psychological well-being were less likely to report socio-cultural difficulties; those who perceived high levels of discrimination were more likely to report socio-cultural difficulties and psycho-physical distress; and low levels of linguistic competence predicted psycho-physical distress. Acculturation attitudes also predicted socio-cultural difficulties in that those who endorsed integration, assimilation and marginalization were less likely to report socio-cultural difficulties. The cultural adaptation problems of rural immigrants were found, in this study, to be similar to those of their urban counterparts, which indicates that services to support adaptation and higher levels of integration should also be offered to rural immigrants. The results of the present study are important for policy making, economic development and service delivery in rural Canada.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.421

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 studies0.0000.000
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 head0.011
GPT teacher head0.186
Teacher spread0.175 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2007
Admission routes1
Has abstractyes

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