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Record W7002446777

A native archaeology of the island Hul’qumi’num : Cowichan perception and utililization of wetlands

2011· other· en· W7002446777 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2011
Typeother
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmic and eticSubsistence agricultureContext (archaeology)WetlandEthnographyIdentity (music)PerceptionOral history
DOInot available

Abstract

fetched live from OpenAlex

The aim of this research is to develop an understanding of historic Cowichan perception and utilization of wetlands in their traditional territory. The Cowichan live on the south east coast of Vancouver Island on the Northwest Coast of North America, in an area with many wetland features. The story of Cowichan culture history is currently characterized, through archaeological work, as marine oriented. However, archaeological research to date does not represent the full history of the Cowichan people. This research sets out to re-balance the cultural history of the Cowichan, through the qualitative and quantitative analysis of all available sources that identify economic and social orientation in Cowichan culture history, in particular those coming from archaeology, ethnography and oral tradition. As a way of integrating these diverse sources, a ‘Native archaeology’ is developed. This is an approach, which places equal value on etic (cultural outsider) and emic (cultural insider) created sources, and seeks to identify areas of similarity and difference in order that a fuller understanding of the culture may be reached. By applying the Native archaeological approach to Cowichan culture history, the marine orientation is placed in the context of the role of riverine wetlands, which was important both in terms of subsistence and of the symbolic significance that these places have in the self-reflected identity of the Cowichan. In this way, a story is to

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.023
GPT teacher head0.287
Teacher spread0.264 · 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
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

Citations0
Published2011
Admission routes1
Has abstractyes

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