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Record W4312839533 · doi:10.3138/cart-2021-0012

The Cartography of Kallihirua?: Reassessing Indigenous Mapmaking and Arctic Encounters

2022· article· en· W4312839533 on OpenAlexvenueno aff
Peter R. Martin

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2022
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyDecolonizationArcticToponymyCartographyThe arcticHistoryEthnologyPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

This article examines a cartographic encounter that took place in 1850 between Kallihirua, a member of Inughuit community of Northern Greenland, and members of the British Admiralty. Drawing on recent literatures that critically assess histories of indigenous mapping, the article explores the troubling circumstances that surrounded this encounter and analyses two maps which were produced as a result. Informed by ongoing debates pertaining to the decolonization of geographical knowledge, the article also reflects critically upon the extent to which historical indigenous cosmologies were commensurate with non-indigenous cartographic traditions and thus reassesses the motivations that lay behind the production and circulation of these maps. The article thus concludes by arguing that while Kallihirua certainly did contribute various types of geographical knowledge during this encounter, to label him as the sole author of these maps would be a problematic act of “cartographic ventriloquism.”

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)0.004
metaresearch head score (Gemma)0.006
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 score0.076
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0350.018
Scholarly communication0.0100.006
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.352
Teacher spread0.336 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCartographica The International Journal for Geographic Information and GeovisualizationSame topicIndigenous Studies and EcologyFrench-language works237,207