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Record W4380883382 · doi:10.1016/j.oneear.2023.05.009

Evaluating migration as successful adaptation to climate change: Trade-offs in well-being, equity, and sustainability

2023· article· en· W4380883382 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOne Earth · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
FundersEconomic and Social Research CouncilInternational Development Research CentreGrantham Foundation for the Protection of the Environment
KeywordsSustainabilityAdaptation (eye)Equity (law)Climate changePopulationEnvironmental resource managementNatural resource economicsSocial equalityBusinessEnvironmental economicsEconomicsEnvironmental planningPublic economicsGeographyEcologyPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

The role of migration as one potential adaptation to climate change is increasingly recognized, but little is known about whether migration constitutes successful adaptation, under what conditions, and for whom. Based on a review of emerging migration science, we propose that migration is a successful adaptation to climate change if it increases well-being, reduces inequality, and promotes sustainability. Well-being, equity, and sustainability represent entry points for identifying trade-offs within and across different social and temporal scales that could potentially undermine the success of migration as adaptation. We show that assessment of success at various scales requires the incorporation of consequences such as loss of population in migration source areas, climate risk in migration destination, and material and non-material flows and economic synergies between source and destination. These dynamics and evaluation criteria can help make migration visible and tractable to policy as an effective adaptation option.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.633
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.176
GPT teacher head0.415
Teacher spread0.239 · 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