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Record W71878480 · doi:10.1017/s0002731600047314

Aboriginalism and the Problems of Indigenous Archaeology

2008· article· en· W71878480 on OpenAlexaff
Robert McGhee

Bibliographic record

VenueAmerican Antiquity · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsIndigenousArgument (complex analysis)EssentialismElement (criminal law)Ethnic groupSociologyHistoryConflict archaeologyEnvironmental ethicsHistorical archaeologyArchaeologyEthnologyAnthropologyPolitical scienceLawPrehistoric archaeologyPrehistoryPhilosophyEcology

Abstract

fetched live from OpenAlex

This paper contends that proponents of various forms of Indigenous Archaeology base their argument on a paradigm of Aboriginal essentialism ("Aboriginalism") that is derived from the long-discarded concept of Primitive Man. The development of Aboriginalism is explored as a mutually reinforcing process between Indigenous and Western scholars, based on evidence that is at best anecdotal. The adoption of this flawed concept by archaeologists, Western publics, and Indigenous people themselves has led to problematic assumptions that have negative consequences for both the practice of archaeology and for the lives of those who identify themselves as Indigenous. Archaeologists can usefully challenge the historical assumptions on which the paradigm of Aboriginalism is based: the belief that local societies have endured as stable entities over great periods of time, and the consequent projection of contemporary ethnic identities into the deep past. Such a challenge confronts a significant element of the intellectual climate that allows marginalized groups to exist as permanent aliens in the societies of settler nations.

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)0.025
metaresearch head score (Gemma)0.021
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.021
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0250.077
Scholarly communication0.0130.012
Open science0.0030.011
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.057
GPT teacher head0.244
Teacher spread0.186 · 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

Citations126
Published2008
Admission routes1
Has abstractyes

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