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Record W204637073

Buried Stories: Archaeology and Aboriginal Peoples of the Grand River, Ontario

2012· article· en· W204637073 on OpenAlexaboutno aff
Gary Warrick

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyMainstreamInscribed figureHistoryGeographyValue (mathematics)AnthropologySociologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The human story of Canada is predominantly an Aboriginal one that is archived in the oral and cultural traditions of every Aboriginal community; but Aboriginal history is also inscribed in the earth waiting to be revealed and deciphered by archaeologists. This essay will discuss why archaeology is important to the Aboriginal peoples of the Grand River valley, Ontario (Six Nations and Mississaugas) who have called this part of Canada home for thousands of years. The essay will examine the value of archaeology to the Six Nations and Mississaugas, and will argue that archaeology affirms Aboriginal title to the land, supports contemporary practices and land use, justifies the reclamation of heritage and land, and challenges mainstream history. Direct involvement of Aboriginal peoples in the archaeology of the Grand River is increasing and will result in new and more detailed stories about their ancient past.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
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 head0.020
GPT teacher head0.248
Teacher spread0.227 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations5
Published2012
Admission routes1
Has abstractyes

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