Bibliographic record
Abstract
It is to the place of higher education in our society that discussion in this paper is directed. The concern here, however, is not with the need of extending the benefits of a higher education, nor with the problem of securing the necessary financial support for such an extension. That need has been well demonstrated and that problem fully explored by the Commission on the Financing of Higher Education in Canada established by the Association of Universities and Colleges of Canada.1 What this paper is concerned with is the problem of the consequences for society when a large part, but by no means the whole, of our body of young people are provided with the benefits of a university education. It is about the young people left behind - those young people who, for one reason or another, fail to mount the educational ladder to success and whose position in society, as a consequence of the growing importance of higher education, worsens relatively rather than improves. Nothing that is said in this regard should be taken to suggest that we ought to slacken in any degree our efforts to extend the benefits of a higher education. If, underlying the discussion in this paper, there is implied an end to which we should strive it is that the whole of our population should eventually come to enjoy the benefits of such an education, whether secured in a university or some other type of institution. But the realization of such an end is not yet in sight, and in the meantime it is urgent to take account of the consequences for society of the very considerably increased importance which has been given to higher education.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.062 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".