The Importance of Being Uncomfortable and Unfinished
Bibliographic record
Abstract
Our initial intention was to outline the structure of an entity, the Bear Healing Lodge, within the Faculty of Nursing at MacEwan University. This structure was created out of the Truth and Reconciliation’s Calls to Action. However, as we engaged in critical discussions we realized that who we were becoming as persons, as we unpacked out privilege and power, was invaluable and informative to prepare us for authentic allyship and partnership. We realized that outcomes and endings were not the end goals, but being uncomfortable and unfinished were necessary for the creation of an ethical space for members to engage in decolonization of self. Authentic allyship and partnership must fundamentally be relational, create a brave space for vulnerability, and stimulate a shift in paradigms for multiple perspectives. We have humbly offered learning intentions, as solution-oriented perspectives, for others to learn which may lead to positive change.
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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 | 0.023 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.064 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.006 | 0.015 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".