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Record W2924833771 · doi:10.1142/s2345737619400049

The Resilience of Land Tenure Regimes During Hurricane Irma: How Colonial Legacies Impact Disaster Response and Recovery in Antigua and Barbuda

2019· article· en· W2924833771 on OpenAlexaff
Cory Look, Erin Friedman, Geneviève Godbout

Bibliographic record

VenueJournal of Extreme Events · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLand tenureLegislaturePolitical scienceVulnerability (computing)TemporalitiesColonialismPolitical economyDevelopment economicsGeographySociologyEconomicsLawComputer security

Abstract

fetched live from OpenAlex

Antiguans and Barbudans have both raised concerns over the disaster recovery solutions put in place to mitigate damages sustained during Hurricane Irma in September 2017. In Barbuda, the potential loss of commonhold land ownership and the possibility of a land grab by foreign investors has tended to portray the island as a victim of disaster capitalism rather than as a resilient community. At the same time, neither island has addressed its vulnerabilities to future extreme events through any substantive legislative response, or immediate policy shifts. While it is vital that we attend to the exploitation of vulnerable populations and the efforts of economic restructuring that follow a disaster to better understand the impact of major weather events, we propose that the threat to commonhold land tenure in Barbuda and the legislative overreach of Antigua’s government on the matter following Hurricane Irma can be understood in terms of various landscape legacies and continuities rooted in ongoing struggles over land in Antigua and Barbuda spanning the periods of slavery, emancipation, and post-colonial independence. This paper situates the past with distinction in order to understand the resilience of land tenure regimes, and the ways in which this resilience affects the quality of post-disaster response in the post-Irma era. Using path dependency theory, we examine the tensions over land tenure in response to Hurricane Irma within the framework of colonial legacies of land rights. More specifically, this paper attempts to examine how these land tenure regimes took shape, and in what ways it has been contested and resisted over time. Our findings demonstrate how the imposition of modern land-use solutions atop a landscape shaped by 18th- and 19th-century practices complicates the mandate to plan for and mitigate the impacts of future disasters. The impact of Hurricane Irma on Barbuda further shows how resistance to legislative change might result in a form of ecological restraint rooted in social-cohesion and commonhold land tenure that is now coming under threat.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.544

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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 designQualitative
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

Citations40
Published2019
Admission routes1
Has abstractyes

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