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Record W2587298609

The Othered Indian, Culture Appropriation, and Formation of National Identity in The Last of the Mohicans

2016· article· en· W2587298609 on OpenAlexvenueno aff
Maoru Song

Bibliographic record

VenueCross-cultural communication · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)AppropriationIdentity (music)RomanceCultural appropriationIndian cultureNational identityAestheticsAdaptation (eye)SociologyGender studiesHistoryEthnologyPsychologyAnthropologyPolitical scienceArtLawPsychoanalysisEpistemologyPhilosophyPolitics
DOInot available

Abstract

fetched live from OpenAlex

In The Last of the Mohicans , Cooper renders some truthful historical events, and also presents some romantic creation. Under the pen of Cooper, the native Indian are deprived of the historical visage. The deprivation is an othering process in order to establish the superiority of the white, a kind of the white’s colonizing strategy. Along with the othering process, the white undergo the process of cultural appropriation. In the contact with the Indian, the white unconsciously and slowly assimilate the Indian’s skills and wisdom for a better adaptation in the unfamiliar world. Therefore, the novel essentially reveals the white’s contradictory attitudes towards the native tribes. On the one hand, as the more civilized group, the white consciously differentiate themselves from the native, and tried to build their superiority. On the other hand, the wisdom and culture of the Indian are beneficial for the white’s adaptation in North America, and the Indian’s tradition and qualities are more or less admired by these out-comers. Behind the contradictory attitudes toward the native lies the white’s ambition to establish a new national identity centered on the white group.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.013
Scholarly communication0.0060.001
Open science0.0000.004
Research integrity0.0010.002
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 head0.026
GPT teacher head0.344
Teacher spread0.318 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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