A Sin against Humanity and God: the Genocide of the Palestinian People and the Churches’ Silence
Bibliographic record
Abstract
[Figure: see text] At its annual meeting in June 2024, the members of the Canadian Theological Society passed a motion of solidarity with Palestinians and student protesters in encampments at universities around the globe. 1 The statement lamented the loss of over 40,000 lives in Palestine (at time of writing), including 15,000 children; condemned the scholasticide in Gaza; and articulated our condolences and solidarity with those students and faculty members there who continue to learn and teach in the most horrific of circumstances. The statement was also an articulation of the society's commitment to learning from Palestinian Christians and to heed their call for Western theologians, educational institutions, and churches to repent of their long-standing indifference to their suffering and to their complicity in their ongoing genocide. In this essay, the authors unpack the impetus, meaning, and significance of this motion for Canadian theology today as they urge Canadian theological institutions and churches to critically and urgently assess their historical indifference to and complicity in the ongoing Nakba of the Palestinian people. The authors also call on Canadian theologians to investigate the abiding connections between the theological justification of settler colonialism in Canada and Palestine, and the genocide of indigenous peoples.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.046 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".