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Record W3127681241

Honouring water: remediating an anthropocentric worldview

2020· dissertation· en· W3127681241 on OpenAlexaboutno aff
Celina Rios-Nadeau

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropocentrismEnvironmental ethicsGeographyEcologySociologyPhilosophyBiology
DOInot available

Abstract

fetched live from OpenAlex

Lack of Potable Water in First Nations communities is often portrayed negatively in the media. Framed as a Water crisis, the responsibility and failure to provide safe Water for communities is solely placed on the federal government of Canada. While colonization and enforcing these mindsets play a large part in these issues, all people are accountable for what is happening to the Water. This exploration of Water in First Nations communities considers two worldviews: Anishnawbek and Western perspectives. Western understandings of Water include implications of governance, policy, and set infrastructure within First Nations communities that measure its success based on funding models and meet regulated standards. Through ending Water advisories in communities, a surface understanding of addressing Water protection is framed through human well-being, and how to prevent further damage to human health. This perspective is very problematic when considering Anishnawbek ways of being, that value relationships and interconnections with all living beings. Wateris life, it is a living entity, and has a spirit that must be respected and honoured. Views of Water need to be reframed through an understanding of how we can respect the Water that brings us life and sustains us. We must reclaim the relationship with Water, by reconnecting community involvement in Water processes and to Water itself. As a response to the current society, Indigenous women are reasserting their role as the voice that speaks for the Water. Through leaders such as Water Walkers, there is an awareness brought to seemingly transparent issues of Water pollution and neglect, by walking around bodies of Water such as the Great Lakes. Water Walks are acts of ceremony themselves, honouring Water through prayer, song, and offerings of tobacco at every waterway that is passed, showing thanks and respect for the Water. In order to value Anishnawbek ways of being and living, it is imperative to reassess existing political hierarchy in water governance and establish inclusive processes encompassing community voice, and the affected ecological factors of the land that is being impacted through substantial infrastructure intervention. To address the problem of Water, Water and wastewater infrastructure as they are understood presently, add large amounts of chemicals to the Water, which often results in dead Water without spirit, while undervaluing Anishnawbek perspectives and community involvement. Through an investigation of Water practices in other cultures, and case studies that address Water through phytoremediation systems, an integration of Anishnawbek concepts, meanings, and teachings can be reflected upon in a new understanding of the value of Water through architecture systems and design. In collaboration with the Atikameksheng Anishnawbek First Nation community, located near Sudbury, Ontario, the history of Water and community will be transcribed through story. Engaging with community Elders, Knowledge Carriers, and other public figures will help in understanding the strong connections with Water prior to Water facilities, as well as mapping a small part of the land. Through a proposed framework that considers both worldviews, a new understanding of Water and architecture can begin to amend the perceptions and current realities of Water purification in First Nations communities and restore relations to Water.

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)0.015
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.981
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0210.098
Scholarly communication0.0120.016
Open science0.0020.022
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0050.001

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 head0.231
Teacher spread0.221 · 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
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
Published2020
Admission routes1
Has abstractyes

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