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Record W2888046928 · doi:10.1177/0021909618794988

Modern Houses, Conspicuous Consumption, and Elite–Villager Interfaces in the Mandara Highlands

2018· article· en· W2888046928 on OpenAlexaff
Melchisedek Chétima

Bibliographic record

VenueJournal of Asian and African Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEliteConsumption (sociology)Interpretation (philosophy)ReciprocalEmptinessSociologyPolitical scienceSocial scienceLawEpistemology

Abstract

fetched live from OpenAlex

This paper argues that changes in architectural practices related to the emergence of modern elites in the Mandara Mountains blur the relationship between them and the village’s permanent residents. Probably because they spend much of their time in urban cities, modern elites prefer building their main houses in those locations. Villagers interpret their behavior as a message of rejection. In turn, this interpretation significantly affects the reciprocal relationships between modern elites and the villagers. Although the former would built houses in the village also, this practice does not remove the suspicion they attract from the latter. On the contrary, the massive character of the houses combined with their emptiness contribute to reinforce the villagers’ belief that they are the fruit of occult practices. Relying on these observations, I argue that elites’ houses are not only the sites of production of social relations, as Claude Lévi-Strauss theorized, but they are also the site of tensions.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.052
GPT teacher head0.356
Teacher spread0.303 · 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 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

Citations11
Published2018
Admission routes1
Has abstractyes

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