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Record W3002496088 · doi:10.1111/cag.12595

Fixing the territory, a turning point: The paradoxes of the Wichí maps of the Argentine Chaco

2020· article· en· W3002496088 on OpenAlexvenueno aff
Alberto Preci

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyDenialPoliticsDecolonizationCapital (architecture)CartographyEthnologySociologyPolitical scienceArchaeologyLawEcology

Abstract

fetched live from OpenAlex

Indigenous mapping is a powerful political tool for long‐marginalized populations to create visibility and establish land claims. In the case of Argentina, a country that was built on a denial of the presence of Indigenous peoples in the national territory, the emergence of these maps stemming from participatory processes coincided with the recognition of these communities' territorial rights in 1994. However, this mapping of Indigenous territories freezes extremely dynamic and complex socio‐spatial realities just as it inflects their representations. In this paper, I reassess the weight and the role that Indigenous cartographic representations play in the evolution of these populations' spatial capital. Paradoxically, they give rise to more contradictions than they clarify. These paradoxes demonstrate the varied relationships different generations maintain with their territory, just as they concern its structure and its cartographic form. Therefore, based on the case of the Wichí of the Argentinian Chaco, this paper contributes to the understanding of contemporary issues of indigeneity by adopting a critical approach to Indigenous cartography. Whereas in Argentina cartographic knowledge is undergoing a process of decolonization, this does not apply to the legal system or to society as a whole .

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.004
Science and technology studies0.0050.012
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.016
GPT teacher head0.219
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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