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Record W4240586064 · doi:10.24124/2017/58909

Raven bloodlines, Tsimshian identity: An autoethnographic account of Tsimshian Wil'naat'al, politics, pedagogy, and law

2017· dissertation· en· W4240586064 on OpenAlexaff
Spencer Greening

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsIdentity (music)IndigenousEthnographyPoliticsGender studiesSociologyPerspective (graphical)AnthropologyPolitical scienceLawAesthetics

Abstract

fetched live from OpenAlex

Raven Bloodlines, Tsimshian Identity is an ethnographic discussion on the sociopolitical values lived by the Tsimshian. This thesis is written from my own Tsimshian perspective, describing my pedagogical journey of Tsimshian identity, politics, and law in a matrilineal society. This thesis aims to recognize the inclusiveness and importance of matrilineal ties between intertribal communities, and highlight how western interpretations of anthropological literature have led to colonial influence in areas such as individualized rights, responsibilities, and land ownership amongst the Tsimshian. I interviewed the Tsimshian Hereditary Chiefs of my phratry to gain insight into the responsibility held to one’s family, community, and nation. By understanding and living ancestral sociopolitical values, my work aims to add to the discussion of Indigenous methods, ethnography, and pedagogy, while helping the reader gain insight into Tsimshian sociopolitical structure and its influence on intertribal relationships.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.428
Teacher spread0.375 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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