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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
\nin the media. Framed as a Water crisis, the responsibility and failure to provide safe
\nWater for communities is solely placed on the federal government of Canada. While
\ncolonization and enforcing these mindsets play a large part in these issues, all people are
\naccountable for what is happening to the Water. This exploration of Water in First Nations
\ncommunities considers two worldviews: Anishnawbek and Western perspectives. Western
\nunderstandings of Water include implications of governance, policy, and set infrastructure
\nwithin First Nations communities that measure its success based on funding models and
\nmeet regulated standards. Through ending Water advisories in communities, a surface
\nunderstanding of addressing Water protection is framed through human well-being, and
\nhow to prevent further damage to human health. This perspective is very problematic when
\nconsidering Anishnawbek ways of being, that value relationships and interconnections
\nwith all living beings. Wateris life, it is a living entity, and has a spirit that must be respected
\nand honoured. Views of Water need to be reframed through an understanding of how we can
\nrespect the Water that brings us life and sustains us. We must reclaim the relationship
\nwith Water, by reconnecting community involvement in Water processes and to Water
\nitself. As a response to the current society, Indigenous women are reasserting their
\nrole as the voice that speaks for the Water. Through leaders such as Water Walkers,
\nthere is an awareness brought to seemingly transparent issues of Water pollution and
\nneglect, by walking around bodies of Water such as the Great Lakes. Water Walks are
\nacts of ceremony themselves, honouring Water through prayer, song, and offerings of
\ntobacco 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
\nexisting political hierarchy in water governance and establish inclusive processes
\nencompassing community voice, and the affected ecological factors of the land that is
\nbeing impacted through substantial infrastructure intervention. To address the problem
\nof Water, Water and wastewater infrastructure as they are understood presently, add
\nlarge amounts of chemicals to the Water, which often results in dead Water without spirit,
\nwhile undervaluing Anishnawbek perspectives and community involvement. Through
\nan investigation of Water practices in other cultures, and case studies that address Water through phytoremediation systems, an integration of Anishnawbek concepts,
\nmeanings, and teachings can be reflected upon in a new understanding of the value of
\nWater through architecture systems and design. In collaboration with the Atikameksheng
\nAnishnawbek First Nation community, located near Sudbury, Ontario, the history of
\nWater and community will be transcribed through story. Engaging with community
\nElders, Knowledge Carriers, and other public figures will help in understanding the
\nstrong connections with Water prior to Water facilities, as well as mapping a small part
\nof the land. Through a proposed framework that considers both worldviews, a new
\nunderstanding of Water and architecture can begin to amend the perceptions and current
\nrealities 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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
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 teacher head, not a consensus.

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
Published2020
Admission routes1
Has abstractyes

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