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Record W2963179648 · doi:10.17953/aicrj.42.3.lucchesi

“Indians Don't Make Maps”: Indigenous Cartographic Traditions and Innovations

2018· article· en· W2963179648 on OpenAlexaff
Annita Lucchesi

Bibliographic record

VenueAmerican Indian Culture and Research Journal · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsIndigenousSovereigntyColonialismArgument (complex analysis)Space (punctuation)GeographyEconomic JusticeSense of placeSociologyEthnologyPolitical sciencePoliticsArchaeologyEconomic geographyLawEcology

Abstract

fetched live from OpenAlex

This paper highlights works created by Indigenous cartographers throughout history and reflects on the ways in which they engage ideas of space, nation, territory, and relationships to land, as well as resist colonial occupation and epistemologies. In this sense, it also asserts the technological and theoretical interventions Indigenous cartographers have contributed, and continue to contribute, to the fields of cartography and geography. Lastly, this paper makes the argument that an increase in cartographic training in Indigenous communities is necessary in ongoing efforts to document indigenous histories and cultures, as well as efforts to strengthen tribal sovereignty and mobilize towards restorative justice.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0230.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.054
GPT teacher head0.424
Teacher spread0.370 · 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 teacher head, not a consensus.

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

Citations47
Published2018
Admission routes1
Has abstractyes

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