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Record W2318435294 · doi:10.1111/aman.12500

Components of a Moral Economy: Interest, Credit, and Debt in Haiti's Transnational Health Care System

2016· article· en· W2318435294 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Anthropologist · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMoral economyDebtEthnographyEmigrationPsychological interventionSociologyHealth careEconomyPolitical economyEconomicsPolitical scienceEconomic growthLawFinancePsychologyAnthropology

Abstract

fetched live from OpenAlex

ABSTRACT The concept of “moral economy” has garnered the attention of anthropologists for its juxtaposition of two central dimensions of human experience that are often treated as distinct realms. However, the concept's analytic potential remains limited, in part because of the challenges in identifying what specifically a moral economy might comprise or entail. I suggest that articulating components of moral economies—in this case interest, credit, and debt—brings into relief some of the more subtle features of social processes that involve diverse resources, transfers, and calculations. Specifically, I use this approach to examine the provision of health services in Haiti by foreign clinicians and the emigration of Haitian health professionals, drawing on ethnographic research conducted in and around the city of Cap‐Haïtien. I illustrate how moral economies exist through actions, experiences, and representations, and I shed light on less conspicuous dimensions of international medical interventions, humanitarianism, and “brain drain.”

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.992

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 studies0.0000.011
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 head0.048
GPT teacher head0.362
Teacher spread0.314 · 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