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Record W2593798355 · doi:10.32396/usurj.v3i1.205

Pocahontas and La Malinche: Mirror Images and Antithetical Archetypes

2017· article· en· W2593798355 on OpenAlexaffvenue
Amani Khelifa

Bibliographic record

VenueUSURJ University of Saskatchewan Undergraduate Research Journal · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsArchetypeCONQUESTIndigenousHistoryLiteratureArtEthnologyAncient history

Abstract

fetched live from OpenAlex

This paper compares and contrasts two Indigenous figures in Mexican history and American history. La Malinche aided conquistador Hernan Cortés during his conquest of Tenochtitlan in the sixteenth century in a way similar to Pocahontas’ “rescue” of Capt. John Smith in the next century. Both women are among the earliest Indigenous figures to become mythologized in their respective nations’ history, yet the legacy they left behind is different; La Malinche’s legacy is more contentious than Pocahontas's. This paper explores the similarities their stories share and the role they play as mediators, mothers, and symbolic figures. It includes a careful study of the many ways they have been remembered since, from artistic portrayals to comparisons with biblical figures. Finally, the paper analyzes the nuances in each of their legacies and proposes one way of interpreting why the two figures have come to be regarded differently over time.

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)0.002
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 score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.012
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
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 head0.042
GPT teacher head0.281
Teacher spread0.238 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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