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Record W4229881329 · doi:10.1017/cbo9781139136938

Climate and Human Migration

2013· book· en· W4229881329 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2013
Typebook
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsRefugeeForced migrationScholarshipPolitical scienceClimate changeDevelopment economicsGeographyPoliticsGlobal warmingEnvironmental planningEcologyEconomics

Abstract

fetched live from OpenAlex

Studies warn that global warming and sea level rise will create hundreds of millions of environmental refugees. While climate change will undoubtedly affect future migration patterns and behavior, the potential outcomes are more complex than the environmental refugee scenario suggests. This book provides a comprehensive review of how physical and human processes interact to shape migration, using simple diagrams and models to guide the researcher, policy maker and advanced student through the climate-migration process. The book applies standard concepts and theories used in climate and migration scholarship to explain how events such as Hurricane Katrina, the Dust Bowl, African droughts, and floods in Bangladesh and China have triggered migrations that haven't always fit the environmental refugee storyline. Lessons from past migrations are used to predict how future migration patterns will unfold in the face of sea level rise, food insecurity, political instability, and to review options for policy makers.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.834
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.072
GPT teacher head0.261
Teacher spread0.189 · 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