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Record W4410906548 · doi:10.1017/9781009449625

Migration and Displacement in a Changing Climate

2025· book· en· W4410906548 on OpenAlexaff
Kelsea Best, Kayly Ober, Robert McLeman

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsDisplacement (psychology)GeologyClimate changeGeodesyGeographyPsychologyOceanographyPsychoanalysis

Abstract

fetched live from OpenAlex

This book provides insight into the impact of climate change on human mobility - including both migration and displacement - by synthesizing key concepts, research, methodology, policy, and emerging issues surrounding the topic. It illuminates the connections between climate change and its implications for voluntary migration, involuntary displacement, and immobility by providing examples from around the world. The chapters use the latest findings from the natural and social sciences to identify key interactions shaping current climate-related migration, displacement, and immobility; predict future changes in those patterns and methods used to model them; summarize key policy and governance instruments available to us to manage the movements of people in a changing climate; and offer directions for future research and opportunities. This book will be valuable for students, researchers, and policy makers of geography, environmental science, climate and sustainability studies, demography, sociology, public policy, and political science.

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 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 score0.970
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
Bibliometrics0.0010.000
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 head0.049
GPT teacher head0.261
Teacher spread0.212 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2025
Admission routes1
Has abstractyes

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