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Record W2534034678 · doi:10.5206/uwoja.v24i1.8967

A Feeling in their Bones: Issues of Deciphering Animal Ritual in the Archaeological Record among the Naskapi Innu and Eastern Cree

2016· article· en· W2534034678 on OpenAlexaffabout
Arwen Johns

Bibliographic record

VenueThe University of Western Ontario Journal of Anthropology · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsWestern University
Fundersnot available
KeywordsCultArchaeological recordArchaeologyFeelingHistoryScale (ratio)Archaeological evidenceRelation (database)EthnologyGeographyAnthropologySociologyAncient historyCartographyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Whether religion and ritual are elements of past cultures that can be studied effectively by archaeologists has divided experts for some time within the discipline. This paper examines specific animal rituals from two mobile hunter gatherer groups from Canada’s North, the Naskapi Innu and Eastern Cree, in relation to Colin Renfrew’s 1985 book The Archaeology of Cult. In this paper I seek to demonstrate that the archaeological concepts and methods put forth in Renfrew’s (1985) work, related to analyzing religious and ritual contexts in large scale sedentary societies, cannot be neatly applied to Northern mobile hunter gatherer groups because of the nature of their movements across the landscape and their unique ritual relationships with animals. By going into detail describing, and subsequently analyzing the practical implications of the animal rituals and beliefs held by the Naskapi Innu and Eastern Cree, it is my goal to call more attention to the archaeological study of small scale mobile societies and their ritual practices that defy conventional methodologies for discerning and analyzing ritual in the archaeological record.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
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 head0.019
GPT teacher head0.208
Teacher spread0.189 · 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.

Study designObservational
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

Citations1
Published2016
Admission routes2
Has abstractyes

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