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Record W4414053681 · doi:10.24124/2025/30552

Rural youth migration planning: The complex story in Tumbler Ridge, British Columbia

2025· dissertation· en· W4414053681 on OpenAlexaffabout

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsWorkforceContext (archaeology)Youth unemploymentGovernment (linguistics)Youth studiesFeelingState (computer science)Positive Youth DevelopmentProduct (mathematics)Focus group

Abstract

fetched live from OpenAlex

,Rural and small-town places across Canada have been undergoing rapid sociodemographic and economic changes since the early 1980s. These changes are the product of the 1980s recession which fostered neoliberal public policies that reduced the role of the state and effectively shifted government initiatives away from community-building. Many communities in northern BC were originally developed to house the working families of the post-war natural resource economy. Since then, service infrastructure has aged, the original workforce is retiring, and many youth and young families have migrated out of these communities. In the context of a changing rural, out-migration of local youth and little in-migration of young people has long been identified as a pressing issue. My research explored the migration plans of senior high school students through a mixed methods exploratory case study of Tumbler Ridge, BC. The focus was exploring senior high school students’ feelings about staying, leaving, or returning to their community, and what factors contribute to those decisions. Economic opportunities are often assumed to be the most significant factor in youth migration planning, but my findings speak to differences in youth’s priorities. While education and employment were the drivers of youth out-migration, quality of life and sense of place were the most significant factors in determining where youth planned to migrate, and why. My research broadens the dialogue on what rural youth are seeking in their communities.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.023
GPT teacher head0.236
Teacher spread0.213 · 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
Published2025
Admission routes2
Has abstractyes

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