Bibliographic record
Abstract
The article begins by tracing expectations around a papal apology in response to the Truth and Reconciliation Commission’s Call to Action, number 58, in the lead-up to the Indigenous delegations to the Vatican in March and the return visit of Pope Francis to Canada in July 2022. The article identifies six elements of the apology that Francis offered: addressing the reality that many children died in residential schools; acknowledging the suffering of Indigenous people who attended the schools; extending the apology on behalf of the church; how the residential school system was part of a colonizing effort to assimilate Indigenous peoples; acknowledging the trauma and intergenerational trauma that Indigenous survivors, their families and communities, continue to carry; and how he, in the context of his apology, interprets the wounds deriving from the school system from a theological perspective, as Christ crucified in those who suffered. The article names four areas where Francis laid the seeds of an action plan for the Catholic Church in Canada in discerning a new way of walking together with Indigenous Peoples.
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 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 | 0.017 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.039 | 0.110 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.009 | 0.020 |
| 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".