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Record W2884359375 · doi:10.24043/isj.65

Designing national identity through cloth: pánu di téra of Cape Verde

2018· article· en· W2884359375 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueIsland Studies Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSustainable Urban and Rural Development
Canadian institutionsUniversity of Prince Edward Island
FundersFundação para a Ciência e a Tecnologia
KeywordsCape verdeIdentity (music)CapeHumanitiesNational identityArtPolitical scienceEthnologyGender studiesGeographyArt historySociologyArchaeologyAestheticsPoliticsLaw

Abstract

fetched live from OpenAlex

This article analyzes the way in which pnu di tra shapes the history of Cape Verde. Pnu di tra is a cotton fabric that began to be produced in the archipelago in the midfifteenth century, the technique having been brought from Africa to the islands by Guinean slave weavers. It was later used as trading currency for the acquisition of slaves from Africa's West Coast to be sold in Brazil, migrating there as well. Following their independence in 1975, pnu di tra will came to be a testimony to the islands African heritage, and a symbol of Cape Verdean identity. It is in the context of the re-Africanization process led by the PAIGC (the African party for the independence of Guinea and Cape Verde) following independence that a valorization process begins which, in conjunction with opening markets and growing tourism, culminating in the establishment of pnu di tra as a trademark of Cape Verdeanhood. With this process in mind, I analyze the effects of globalization in an island context and the possible forms of resilience to it.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.077
GPT teacher head0.385
Teacher spread0.307 · 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