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Record W7043246664

The role of the environment on irregular migration in The Gambia, West Africa : implications for climate change adaptation policies

2023· article· en· W7043246664 on OpenAlexfundno aff

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsClimate changeAdaptation (eye)Climate change adaptationVulnerability (computing)
DOInot available

Abstract

fetched live from OpenAlex

As climate change worsens, populations around the world must continue to find innovative ways to adapt with the increased impacts and pressures from changing environments.Increasingly, migration is being viewed as a valid adaptation strategy by researchers and policymakers alike.This thesis looks at the framing of migration as an adaptation strategy, first, through a discourse analysis of West African policies, and second, through empirical research in The Gambia.It became evident that migration is being viewed as an adaptation strategy both in national-level policies and locally by Gambians attempting to improve their livelihoods.This thesis argues that adaptive migration should be better incorporated in policy frameworks and viewed as a valid adaptation strategy.Gambians and vulnerable populations around the globe will bear the brunt of climate change, despite contributing the least to the crisis.Global cooperation is needed to ensure vulnerable populations are protected and human rights are upheld.March 28, 2023.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.056
GPT teacher head0.237
Teacher spread0.181 · 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
Published2023
Admission routes1
Has abstractno

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