Cultivating Identities: The Catholic School as Diverse Ecclesial Space
Bibliographic record
Abstract
I argue that the crisis of identity Catholic schools are experiencing in the 21st century also presents an opportunity for a rediscovery and expanded conversation, both within and beyond the confines of the institutional Church, of what it means to exist separately from the mainstream without restricting internal diversity. I begin by presenting salient historical, theological, and sociological features Catholicism and Catholic Education during and since the Second Vatican Council (1962-5) to establish the context and substance of its modern identity crisis. I then provide a review of current controversies within Catholic schools to demonstrate how they are symptomatic of this crisis, but also potential catalysts for exploring new options. The next section argues both for the merits of recognizing multiple Catholic identities, and imagining the Catholic school as an institution that assembles and coordinates them. I propose that the fact of multiple Catholic identities should be interpreted as differences in kind, rather than by their degree of difference from a narrowly constructed idea of Catholicism. I also propose that the intersection of these identities at school should be encouraged as a way of nurturing both students’ own identities and their ability to encounter religious difference within their own tradition and community. The conclusion demonstrates how in practice this model presents a promising means of possibly deepening individual and institutional religious identit(y/ies) in today’s world, and for responding to controversial issues that arise within Catholic schools.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.028 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| 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".