Apathy, Antipathy and Settler Colonial Constructs of Environmental Justice: A Sentiment Analysis
Bibliographic record
Abstract
Within so-called Canada, settler colonialism exists as an ongoing structure of capitalism and dominance that contributes to land dispossession and, as such, informs the reproduction of environmental violence: a holistic form of violence that negatively affects Indigenous communities through a series of physical, spiritual, and emotional harms like that of the First Nations water crisis. This paper addresses commonly held sentiments towards the First Nations water crisis as they appear in social media comments on a recently posted video of Black and Indigenous activists at the International Climate Conference speaking to their lived experiences of environmental racism (CBC Canada, 2021). Million’s (2013) felt theory and notion of sociopolitical imaginaries are employed in this paper to guide the reframing of popular sentiments of apathy and antipathy that exist in the collective settler consciousness regarding environmental racism, the First Nations water crisis, and settler-colonial violence on Indigenous lands and bodies (as cited by Meissner, 2017). Further discussion is elicited on the relationship between local forms of environmental violence and the global climate crisis, with emphasis made towards reimagining the foci of international environmental stewardship movements as based on Indigenous ways of knowing and being. This research paper was written, in part, as a contribution to the collaborative learning forum at X University titled Apathy to Empathy: Addressing the First Nations Water Crisis. Upon presenting this research at the event, an original creative piece was included, which maps the research presented in this paper and includes a collection of images related to the First Nations water crisis, settler colonialism, land degradation, and environmental advocacy (See Appendix).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".