Educating Men-and-Women-for-Others: Jesuit and International Educational Identity Formation in Conversation
Bibliographic record
Abstract
In a globalising world that often appears overrun by corporate and consumerist values, international education can be tempted to follow suit and support elitist transnational learning. Such an outcome may emerge intentionally or through an unreflective embrace of an unjust status quo. It follows that students and alumni of international education institutions may have little concern for more broadly communitarian values such as social justice, solidarity, and active care for those on the margins of local and global societies. However, for those craving alternatives that counteract segmented interests, this article demonstrates one such alternative. It maps how ‘men-and-women-for-others,’ a concept with worldwide traction in Jesuit education, can both inform and learn from international education concepts and practices. Further, this article employs the case of two remarkable Jesuit nativity schools to ground that dialogical process of meaning making, as men-and-women-for-others interacts with the International Education Studies literature in a mutually enhancing manner. The results will be of interest to those committed to fostering social justice, solidarity-based action, and a glocal ethic of care amongst the students and alumni of both Jesuit and international educational institutions.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.031 | 0.056 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".