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Record W7018556880

Discourse analysis: a study of the social, political context of radioactive pollution effects on Indigenous Communities

2022· dissertation· en· W7018556880 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousContext (archaeology)Environmental justicePoliticsRadioactive contaminationRadioactive waste
DOInot available

Abstract

fetched live from OpenAlex

This thesis addresses the effects of radioactive pollution on Indigenous communities, across the world and particularly in Canada. In many cases Indigenous cultural and traditional lifestyle, environment and health of the community are directly impacted due to various sectors of the nuclear industry and its radioactive contamination. My thesis highlights radioactive
\ncontamination of Indigenous traditional lands and waters, its impact on health, various instances of historical injustice and displayed experiences of affected Indigenous persons. Additional research is devoted to highlighting the radioactive contamination of Indigenous lands and waters, and in particular I reviewed the impact of tailings on Serpent River First Nation, in Ontario.
\n
\nIndigenous worldviews and generational wisdom play an important role when it comes to
\ncoexistence and conservation of the surrounding environment, policies and role models which act as a guiding principle when it comes to the protection of nature and the wellbeing of future generations. Therefore, this thesis aimed to analyze information and sources with a view to
\na) Highlight potential dangers when it comes to radioactive waste in Indigenous
\ncommunities;
\nb) To promote Indigenous knowledge and worldviews in relation to the surrounding environment and;
\nc) To suggest a positive shift in terms of the renewable, waste-free hydrogen fusion process, the very same process that powers stars in the universe including our sun.
\n
\nA discourse analysis, which consisted of an in-depth analysis of fifteen literature and related sources were oriented to address two key research issues: a) the dangers of radioactive pollution and b) the impact of dangerous tailings in Indigenous communities. An Indigenous methodology (Kovach 2010, Wilson 2008,) overarched the total thesis to ensure that it respected Canada’s Indigenous worldviews.
\n
\nConsiderable attention is devoted to utilizing a discourse analysis research method for
\nanalyzing relevant texts on existing radioactive danger, experiences and the living conditions of Indigenous First Nations as a result of radioactive contamination. This work highlights the importance of implementation and careful consideration of Indigenous worldviews. Key findings call to attention instances of historical injustice addressing the devastating impact on Indigenous cultures, traditional lifestyles, community health, historical injustice, and contamination of the surrounding environment as a result of radioactive pollution.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
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
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.293
Teacher spread0.278 · 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
Published2022
Admission routes1
Has abstractyes

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