A Journey of Learning: Relations With the Land, Environmental Violence and Dispossession and Decolonizing Social Work
Bibliographic record
Abstract
For the purposes of this Major Research Paper (MRP), I have chosen to situate my project in a position of intentional engagement with attempts to challenge settler colonialism. Toward this goal, I attempt to engage in learning about ways in which social work can engage in intentions of decolonizing. As a woman of mixed ancestry – both of settler and Haudenosaunee background – this MRP uses the Petal Flower Framework (Absolon, 2011) to support the process of learning of relations with Creation (the natural environment), with consideration of social work practice, and the ongoing systems which perpetuate violence against the environment. The journey involved in this process has included intentional thought in attempt to learn from Indigenous authors as I strive to decolonize my personal and professional journeys.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.073 |
| Scholarly communication | 0.016 | 0.012 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.003 | 0.005 |
| 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".