Toronto School of Theology: Global Connections—Past and Present with Reflections for the Next Fifty Years
Bibliographic record
Abstract
[Figure: see text] This article focuses on celebrating the global connectedness of the Toronto School of Theology (TST) and its member colleges with some reflections on the next fifty years. Global connections within the member schools initially connected to the missionary endeavours of their founding denominations or orders. More recently, with church support for theological education reduced, the TST member colleges have established their own partnerships and educational initiatives in many parts of the world so that increasingly, the global context, with its questions about the meaning of diversity at TST, has been viewed as an integral part of their mission. With the recent approval of redeveloped educational standards by The Association of Theological Schools in the United States and Canada, more than ever, global awareness and engagement needs to be demonstrated in all areas of a school’s work, including its mission, faculty hiring and development, student assessment, and its use of human and financial resources. This will require TST, as it enters its second semi-millennium, not only to reflect on how it will live out this commitment but, more importantly, in light of a past that has included ethnocentrism and colonialism, to assess how much it is willing to challenge deeply held assumptions and commit to those qualities needed for a respectful and humble engagement with other articulations of theological education.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.023 | 0.023 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".