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Record W3085797715 · doi:10.14288/1.0394308

Secwépemc water governance : re-imagining water relationality

2020· article· en· W3085797715 on OpenAlexaff
Melpatkwa Matthew

Bibliographic record

VenuecIRcle (University of British Columbia) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCorporate governancePolitical scienceEconomicsManagement

Abstract

fetched live from OpenAlex

This thesis traces how Secwépemc people conceptualize and (re)imagine their relationships with water across the Secwépemc nation. Using a mixed method of qualitative knowledge through one-on-one interviews with relatives and Secwépemc community members I use a strength-based research approach that honours and upholds Secwépemc voices. I include Secwépemc voices of Elders, educators, and youth to share stories and visions of Secwépemc water governance across five Secwépemc communities (Cstélen, Neskonlith, Tk’emlúps, Simpcw, and Sexqeltqín). The Secwépemc value of k'wseltktnéws is used as a theoretical and methodological approach to explore Secwépemc water knowledge and relationality. I examine how settler-colonialism and capitalism impact and attempt to disrupt Secwépemc people and communities’ embodiment, care, and responsibilities to water. Additionally, I discuss how resource extraction practices and narratives shape Secwépemc water governance. This thesis enables Secwépemc people and communities to (re)imagine water governance through the value of k'wseltktnéws, Indigenous futurity, Indigenous feminism, and grounded normativity. This thesis opens up space to improve upon Secwépemc relationality to each other and to water so that our tellqelmucw, the people to come, are supported and able to live freely within Secwepemcul’ecw (Secwépemc land and waterways).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.188
Teacher spread0.176 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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