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Record W3134079382 · doi:10.1111/tran.12445

Dementia, infrastructural failure, and new relations of transnational care in Thailand

2021· article· en· W3134079382 on OpenAlexafffund
Geraldine Pratt, Caleb Johnston

Bibliographic record

VenueTransactions of the Institute of British Geographers · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsUniversity of British Columbia
FundersEconomic and Social Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsDementiaEthnographyDevaluationEmbeddednessCare workPoliticsSociologyPolitical scienceEconomic growthBusinessMedicineSocial scienceEconomics

Abstract

fetched live from OpenAlex

We draw on our ethnography of European‐owned care facilities in Thailand, designed for persons from the global north living with dementia, to address the current crisis in dementia care in the global north. Neither cultural approaches (that celebrate a Thai propensity to care for aging people) nor economic critique (focused on the exploitative relations between global north and south) fully or accurately represent the practices of care in these facilities. We outline the skilled nature of the dementia care on offer there, as well as non‐kin‐based relations of care that develop over time, to excite our imaginations of what is possible within long‐term care institutions in the global north. Focusing on skill addresses the chronic devaluation of elder care, and a close appraisal of the personal relations that develop in Thai transnational facilities displaces the family as the most appropriate locus of care. We frame this exploration within a notion of relational comparison, with the goal of cultivating a non‐innocent politics of hope under conditions of infrastructural failure.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.016
Scholarly communication0.0060.004
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.244
Teacher spread0.234 · 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

Citations6
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueTransactions of the Institute of British GeographersSame topicSoutheast Asian Sociopolitical StudiesFrench-language works237,207