Bibliographic record
Abstract
In this article, the author attempts to brush a portrait of students between the ages of 20 and 30. Each year, 5 000 of them come to the Guidance service at the Université de Montreal. Of this number, about 80 % seek advice on how to plan their studies or wish to obtain information on the job market. These statistics are hardly surprising, as students today like those of ten years ago, strive to attain, first and foremost, objectives related to their career plans. However, the present economic situation, the scarcity of openings on the market, the choice of profession made too early in life and the quotas adopted by many faculties make their selection a much more complex process. Those who consult for psychological reasons come in greater number in September and January, at the start of the semester. One of the tables illustrates their concerns which are more serious and critical than they were ten years ago. New attitudes and new behaviour patterns are to be noted. While some young people are more competitive in their studies, others have a casual approach and take more time to complete their training. Generally, students are neither activists nor revolutionaries but, rather, have a peaceful and solitary nature. They are attracted by stable and long-lasting relationships, even think of marriage, but the confusion in their roles, resulting largely from the feminist movement and their difficulty in communicating, puts many obstacles in their path. Notwithstanding their worry about the future, they have decided to survive, come what may, and have adopted a new moral code - the respect of their inner being.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.034 | 0.004 |
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".