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Record W4387553692 · doi:10.55650/igj.2017.1258

Travellers, land management, and the political ecology of marginalisation in Celtic-Tiger Ireland

2017· article· en· W4387553692 on OpenAlexaff
Patricia Burke Wood

Bibliographic record

VenueIrish Geography · 2017
Typearticle
Languageen
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsYork University
Fundersnot available
KeywordsCeltic TigerIrishSafeguardingPoliticsGeographyCeltic languagesPopulationGovernment (linguistics)SpeculationLand tenureEuropean unionPolitical scienceEconomyEconomic growthBusinessSociologyLawEconomicsEconomic policyAgriculture

Abstract

fetched live from OpenAlex

Irish Travellers were once an itinerant population on the island of Ireland, but are now predominantly sedentary and urbanised. Their longstanding horsekeeping practices have become subject to increased management and regulation in the Republic. Nominally introduced in the interest of safeguarding the well-being of horses, the policing of horsekeeping has also served as an instrument of surveillance and marginalisation, and has had a culturally and economically severe impact on the Traveller community. This paper argues that the policing of Travellers who keep horses has its roots in a larger transformation of rural landscapes, led by the Irish state as part of an economic plan of modernised dairy and beef production for an international market. The spatial transformation of rural areas was intensified further during the Celtic Tiger (1994-2008), when the central government’s transfer of responsibilities to under resourced local authorities combined with property speculation and new environmental regulation from the European Union to produce new land management discourse and practices at the local level. Land was understood to have new and lucrative potential for development and, although they often managed it badly, local authorities increased their oversight and policing of previously flexible or ‘disorderly’ land. These evolving frameworks and practices of land management and oversight served to marginalise communities whose ties to land were insecure, such as Travellers who kept horses.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.485

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 head0.038
GPT teacher head0.374
Teacher spread0.336 · 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.

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
Published2017
Admission routes1
Has abstractyes

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