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Record W2887616785 · doi:10.25316/ir-428

Stewards of the land, water and sky : Tsleil-Waututh Nation’s relationship with the Burrard inlet

2018· article· en· W2887616785 on OpenAlexaboutno aff
Emily Cass

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
Fundersnot available
KeywordsInletSkyHydrology (agriculture)Environmental scienceGeographyMeteorologyGeologyGeomorphologyGeotechnical engineering

Abstract

fetched live from OpenAlex

This thesis investigates Tsleil-Waututh peoples’ relationship with the Burrard Inlet brought forth by community members and representatives of Tsleil-Waututh Nation as a marker of their collective identity. A modern history of massive population influx, land alienation, industrial activity and resource development resulting from the arrival of settlers from abroad has left Tsleil-Waututh peoples with limited opportunities to realize their relationship with the Inlet as their ancestors did. Situated in the center of one of Canada’s most populous regions, the coexistence of Indigenous and non-Indigenous peoples in the cities surrounding the Burrard Inlet is a reality and this study contemplates the opportunity that can be realized through cross-cultural collaboration. This study itself is one such example. The objective of this study is to move away from the tendency of the researcher to act as the expert, and instead to situate the Tsleil-Waututh community members and representatives as the experts. As a non-Indigenous researcher, I adopt an Indigenist research approach to better understand these Indigenous worldviews and to present them accurately and respectfully.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.758

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.174
Teacher spread0.164 · 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 designQualitative
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

Citations0
Published2018
Admission routes1
Has abstractyes

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