A Model for the Study of Occupational Choice of the Roman Catholic
Bibliographic record
Abstract
Recruitment of seminarians i studied, using a "funnel model " to explore those predisposing conditions which contribute to the [ormation of a young manas a potential priest. Changing so•Ÿ conditions ate diseussed in the context of the decline in choice of the Catholic prtesthood asa career by contemporary youth, lmplications [of the "vocattonal crisis " ate sug-gested in light of the data [roto a sample of Canadian high school students. BACEGROIYND The study of reeruitment into the Bo-man Catholie priesthood is of immense praetical import today beeause of the preeipitous decline during the last five years not just of the proportion of young Catholie men entering seminary training but even of the absolute number of semi-nary students. Between 1965 and 1967, the number of Catholie seminarians in the world dropped from 166,940 to 146,996 (Facts on File, 1970). In the United States, the decline has been even more c ¡ in 1966, there were 46,000 Catholie seminarians, in 1970, only 23,822 ( National Catholic Reporter, 1971). The need for eareful studies in * Aeknowledgment is made to Rolf E.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.005 |
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".