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Record W1506671201 · doi:10.25071/2291-3637.36234

Diffusion or Independent Development? The Treatment of War Captives by the Haudenosaunee, Aztecs and Tupinambá

2012· article· en· W1506671201 on OpenAlexvenueno aff
Matthew Dennis

Bibliographic record

VenueHPS The Journal of History and Political Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropology: Ethics, History, Culture
Canadian institutionsnot available
Fundersnot available
KeywordsDiffusionPolitical scienceHistoryAncient historyPhysics

Abstract

fetched live from OpenAlex

The societies of the Haudenosaunee, Aztecs, and Tupinambá share many distinct traits in terms of their treatment of war captives. These traits include the ownership and potential incorporation of the captive into the group, the abuse and torture of war prisoners, ceremonial sacrifice, and cannibalism. The reasons for these similar characteristics have been debated by historians and anthropologists. Some argue that diffusion, typically from Mesoamerica, is primarily responsible, others argue that it can be attributed to independent inventions at specific points in each society’s development. Though no definite explanation for these similar behaviours exists, a clear portrait can emerge when outlining the many shared characteristics of these civilizations, which can then be analysed within the framework of the diffusion or independent development arguments. A definition of diffusion and independent development—and all of their inherent implications—must be ascertained before entering into the debate behind the origins of the war captive complex in Haudenosaunee, Aztec and Tupinambá societies. According to Robert L. Rands and Carroll L. Riley in “Diffusion and Discontinuous Distribution, ” diffusion may be the simplest of the explanations for common culture traits and societal structures. The problems

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.014
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.331
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

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
Published2012
Admission routes1
Has abstractyes

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