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Record W2326259287

Migración por amenidad y la crisis de crecimiento de los pueblos de montaña del oeste canadiense

2012· article· es· W2326259287 on OpenAlexaboutno aff
Lorna Stefanick, Rodrigo González, Nadia Sánchez Pascal

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyAmenityHappeningEthnologySocioeconomicsPolitical scienceHistorySociology
DOInot available

Abstract

fetched live from OpenAlex

The Search for Paradise: Amenity Migration and the Growing Pains of Western Canadian Mountain Towns. Migration is not a new phenomenon but has been happening since the birth of the human history. What is new is that by the end of the second millennium, the motivation that causes migrations changed. In the past, people moved mainly in search of food or, later, for economic reasons. Now, we see a significant movement of people because of the desire to achieve a particular lifestyle: migrants seeking a different environment and culture associated with rural areas and in particular to rural areas located in coastal or mountain regions. Research based mainly on secondary data analysis and participant observation in these communities, explores the characteristics of these migrations for amenity in the Western Canada, analyzing the impacts generated by the phenomenon and the growing pains of the people of mountain regions.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.304
Teacher spread0.290 · 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 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
Published2012
Admission routes1
Has abstractyes

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