“Now Is the Time to Start Reconciliation, and We Are the People to Do So”, Walking the Path of an Anti-Racist White Ally
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Media accounts of hundreds of unmarked graves of children at the sites of residential schools in Canada in 2021 is one more urgent call for all Canadians to start walking the path for reconciliation, decolonization, and anti-racism. In this exploratory reflection utilizing hermeneutical phenomenology, my journey to reconciliation is described. Through a review of Indigenous law and sovereignty, Canadian numbered treaties, and residential schools, this article explores justice, discovering the truth, and advancing reconciliation. In order to achieve justice, first ethnocentrism, or our evaluation of Indigenous cultures according to our preconceived preference for our own standards and customs, must be recognized, exposed, and set aside. Without our own ethnocentric attachment, and consequently with an open mind, we can hear the truth of Indigenous peoples and internalize it. Examples include the truth of the treaties and residential schools. The reconciliation path entails pursuing justice; this includes recognizing both Indigenous sovereignty and Indigenous law. This path doesn’t ‘restore’ relations historically, but does build reconciliation for the future. However, the process will not be comfortable. The reward will be a more equitable and inclusive society.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.014 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it