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Record W2012930763 · doi:10.3138/carto.48.1.1674

“Strangers on their own land”: Ideology, Policy, and Rational Landscapes in the United States, 1825–1934

2013· article· en· W2012930763 on OpenAlexvenueno aff
Heather Winlow

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsAllotmentIdeologyGovernmentalityPoliticsState (computer science)GeographyPower (physics)FrontierReservationSociologyPolitical scienceEthnologyLawArchaeologyEcology

Abstract

fetched live from OpenAlex

During the nineteenth and early twentieth centuries, Native Americans were increasingly excluded from the American social body and from national space. This article explores that exclusion from three perspectives: through dominant national ideologies that represented tribal groups as “Other” and inferior to European Americans; through federal policies – including removal, reservation, and allotment – that increasingly confined “Indians” to specific parts of the national landscape; and through the cartographic delineation of the national territory, which produced a Cartesian gridded landscape alien to Native understandings of land. This latter focus includes a case study of Indian Territory, which was incorporated into the state of Oklahoma in 1907. These three strands are explored through a theoretical framework that combines ideas about governmentality and territory, discourses of otherness and exclusion, and the power of maps.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.414

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.016
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.230
Teacher spread0.224 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCartographica The International Journal for Geographic Information and GeovisualizationSame topicAmerican Environmental and Regional HistoryFrench-language works237,207