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Record W7034458450

Tecumseh And Tenskwatawa: Myths, Memories, And Messages For Present Times

2020· dissertation· en· W7034458450 on OpenAlexaboutno aff

Bibliographic record

VenueHuman Biology · 2020
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousBrotherFormative assessmentExtension (predicate logic)Period (music)Traditional authority
DOInot available

Abstract

fetched live from OpenAlex

Tecumseh has been hailed as the most famous Indigenous leader in the United States and Canada. Many scholars have bemoaned the difficulty to separating man from myth. One thing is clear: there could be no Tecumseh without his brother Tenskwatawa. It was Tenskwatawa who first had a religious awakening that birthed a spiritual movement. It was Tenskwatawa who was the first leader of this pan-Indigenous group of followers. Tecumseh’s leadership would not emerge until nearly six years later. In the many works on Tecumseh, Tenskwatawa’s story can be easily found. However, he is nearly always portrayed as less important and easily forgotten. This thesis seeks to answer two fundamental questions. Are Tecumseh and Tenskwatawa remembered differently because they were dissimilar? Why does Tecumseh’s legacy endure among Americans, Canadians, and Indigenous people (and by extension Tenskwatawa’s) when so many other Indigenous leaders in North America have been forgotten? This work argues that the two brothers only appear different when they are viewed out of context, through a colonialist lens. When they are viewed in context, from an Indigenous perspective, they are far more the same than different. This work also demonstrates that the legacies of the two brothers endure due to their intersection with formative periods and people in the early nineteenth century in the nation-building projects in the United States and Canada, with elements and individuals from that period still being commemorated today. The ideas, policies, and laws that intersected with the lives of the two brothers continue to have a bearing on the present as well, particularly in regard to Indigenous-settler relations in both countries.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.023
Scholarly communication0.0060.010
Open science0.0010.004
Research integrity0.0020.006
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 head0.047
GPT teacher head0.244
Teacher spread0.198 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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