Bibliographic record
Abstract
l i n c h r i s tAt times life offers some momentous experiences that awaken and provoke a decisive change of direction.I remember one day in the Grand Séminaire in Montreal I noted that some of my companions did not seem to be making the same discoveries, on the spiritual plane, as I was.I was struck and disturbed by this and it led me to the Priests of Saint Sulpice, where I dedicated myself to priestly training.My discovery of something lacking in their formation was the catalyst for my vocation to train priests.Father Luigi Giussani took the reverse path.As a young priest he taught at the Major Seminary of Milan.One day, thanks to a chance conversation with some high-school students on a train, he became aware that something was missing in the Christian experience of youth taught in Catholic institutions.He was so troubled by this that he quit his professorial duties to dedicate himself to the Christian education of young high-school students.His courageous choice was at the origin of a great ecclesial movement that has never ceased to grow and develop in Italy and in numerous other countries.The Journey to Truth Is an Experience gathers some of the fundamental intuitions of this exceptional educator, who, like a modern-day Socrates, develops free and responsible personalities, introducing
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.576 | 0.524 |
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".