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Record W3003851808

On the Move: Employment-Related Geographic Mobility: A Review of Socio-Economic Characteristics in Williams Lake

2013· review· en· W3003851808 on OpenAlexaboutno aff
Daniel Bell, Laura Ryser, Julia Good, Gerald Pinchbeck, Erin MacQuarrie, Kourtney Chingee, Alika Rajput, Kyle Kusch, Greg Halseth, Sean Markey

Bibliographic record

Venuenot available
Typereview
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Service (business)Economic growthResource (disambiguation)GeographyEnvironmental planningSociologyBusinessMarketingEconomics
DOInot available

Abstract

fetched live from OpenAlex

Labour mobility presents numerous opportunities and challenges for communities in rural and small town settings. Opportunities exist in terms of filling much needed service and worker demands, while also presenting the possibility for community growth and stability by attracting new residents and businesses. However, the challenges associated with integrating migrant and transient workers into the fabric of community and maintaining consistent service and worker delivery presses the limited capacity available in rural and small town communities.The purpose of this research is to provide an integrative lens through which to view labour - community dynamics within the On the Move: Employment-Related Mobility in the Canadian Context(ERGM) project in northern BC. The research is premised on a foundation of comparative community/regional research investigating the differences and similarities in preparation for and management of mineral resource activity in two case study communities/regions: Williams Lake, and the Gibraltar Mine; and Mackenzie, and the Mt. Milligan mine.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.898
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.011
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.250
Teacher spread0.231 · 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
GenreReview

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
Published2013
Admission routes1
Has abstractyes

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