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Salamanca and the city: culture credits, nature credits, and the modern moral economy of indigenous Bolivia

2006· article· en· W2013155197 on OpenAlexaff
Kathleen Lowrey

Bibliographic record

VenueJournal of the Royal Anthropological Institute · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIndigenousMoral economyDebtRestructuringEconomySociologyIdentity (music)MAGIC (telescope)Political scienceLawEconomicsAestheticsFinance

Abstract

fetched live from OpenAlex

This article draws on fieldwork carried out in a Guaraní‐speaking community in the Bolivian Chaco – Isoso – between 1997 and 2000. At the time, some Isoseño people were employed in urban‐headquartered projects that revolved around Isoso’s environment, culture, or identity and that were funded multilaterally by grants, loans, or other foreign aid. The article describes a set of fantastic discourses circulating in rural Isoso that seem to compare a magical place called Salamanca to the city where some Isoseño people now work. The article argues that these Salamanca discourses are an Isoseño‐specific way of talking about a general set of unprecedented processes. It takes up the fact that undertakings of the kind in which the Isoseño are involved create new calibrations among radically different systems for moral/qualitative and material/ quantitative evaluation which can most ‘economically’ be expressed in terms of credit and debt. Finally, it considers why it is that for all their strange magic, Isoseño ‘Salamanca and the city’ discourses put an extremely recognizable suite of moral considerations at their centre.

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)0.002
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 score0.171
Threshold uncertainty score0.340

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.015
Scholarly communication0.0050.002
Open science0.0010.006
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 head0.016
GPT teacher head0.279
Teacher spread0.262 · 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

Citations9
Published2006
Admission routes1
Has abstractyes

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