Tradition and Tension: The Presbyterian Church in Canada, 1945– 1985. By Stuart Macdonald. Montreal and Kingston: McGill–Queen’s University Press, 2025. xix + 298 pp. $37.95 paper.
Bibliographic record
Abstract
preconceived scholarly edifice.This consistent deployment of theory is part of the book's theatrics.A question must be asked: does such an aesthetic and theoretical approach really permit a scholar to listen to the documents?This is certainly up for debate.The position one takes on such a question will likely relate to one's scholarly tools of choice.To lay my own cards on the table: I am writing a book on a diocesan priest, a prolific abuser, who never leaves his archdiocese.I prefer a more inductive method related to the approach we call "microhistory."I think it necessary to do more showing, especially as it relates to sources and even broad paradigms, than telling.Yet, I recognize the balance is very difficult to strike.Authors have to tell readers what things mean.O'Neill's choice to frame the book as "making" and "unmaking" is indeed generative.Yet, I am left desiring more thickness in each and every description.This would permit us to learn more about the history of clergy abuse from the Roney case.As O'Neill notes in the conclusion, Unforgivable is the start of a much larger research project on the movement of abuser-priests across borders.This book is a prequel.Or perhaps it is better understood as a beachhead from which he will stage a much more sustained operation.He is now at work connecting America, Latin America and Rome into a much wider web.The work at hand here is analytically rich, provocative, and exquisitely written at the sentence level.It marks a genesis for a wider exploration of priesthood, abuse, the state, global transfers, and survivors.In the end, perhaps we can see its aesthetic and literary approach as grounds to raise important ethical questions.What is the most appropriate way to write about such a nefarious and abusive character like Roney?What is the responsibility of the researcher when writing about the superiorsthe enablersof such behaviors?If one writes a book on a single priest, how should survivors come into the narrative?Unforgivable defines its subject more than it allows its subject to self-define.Scholars, we should note, also "make" and "unmake" subjects.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".