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Record W2886982724 · doi:10.5380/his.v66i2.60816

HURON-WENDAT ARCHAEOLOGICAL HERITAGE: BUILDING RELATIONSHIPS TOWARDS COLLABORATION

2018· article· pt· W2886982724 on OpenAlexaffabout
Alicia L. Hawkins, Louis Lesage

Bibliographic record

VenueHistória Questões & Debates · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsLogos Bible SoftwareHumanitiesPhilosophyTheology

Abstract

fetched live from OpenAlex

Existe uma história longa de estudo acadêmico do povo Huron-Wendat no século dezessete no Ontario. Apesar disso, é muito recente o engajamento dos arqueólogos e de outros acadêmicos com a comunidade Huron-Wendat em relação às escavações de sítios Huron-Wendat no Ontario. Este engajamento constitui um primeiro passo, porém não representa uma verdadeira colaboração considerando que na maioria dos casos as investigações não são parcerias e não se baseiam em perguntas diretamente formuladas pelos membros da Nação. Em 2015, para marcar o aniversario de quatrocentos anos da chegada de Champlain no Ontario, membros da Nação Huron-Wendat e arqueólogos co-organizaram um colóquio sobre temas de grande interesse para a Nação, incluindo a relação com os “St. Lawrence Iroquoians,” os Wendat e a história dos Wyandot depois de 1650, assim como análises bio-arqueológicas. Este artigo apresenta uma breve história da pesquisa arqueológica sobre o passado dos Huron-Wendat e revela alguns novos, e mais colaborativos, caminhos de pesquisas presentes e futuras.

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)0.006
metaresearch head score (Gemma)0.008
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 score0.550
Threshold uncertainty score0.895

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0320.020
Scholarly communication0.0140.007
Open science0.0020.017
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0200.002

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 head0.062
GPT teacher head0.328
Teacher spread0.267 · 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

Citations4
Published2018
Admission routes2
Has abstractyes

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