Postsecondary System Design and Governance A Background Paper Prepared for the Ministry of Advanced Education Campus 20/20 Project Regarding The Future of British Columbia’s Postsecondary Education System
Bibliographic record
Abstract
The design of a system of postsecondary education refers to the mix of different types of institutions in regard to institutional mission, highest academic credential awarded, programs offered, clientele served, and educational philosophy. The most fundamental design choice concerns the nature and extent of institutional differentiation. That is, whether to create postsecondary institutions that are quite similar to one another with respect to the characteristics just noted, or have institutions that are highly differentiated from one another. The prevailing view in the literature on this question is that postsecondary education systems that exhibit a considerable extent of institutional differentiation can respond more efficiently and effectively than can more homogeneous systems to variety and change in the demands on higher education. The predominant design of postsecondary systems that emerged in North America and many other places in the second half of the 20th Century was the binary structure. A pure binary structure consists of two sectors where the institutions in each sector are relatively similar to one another in essential characteristics, but highly differentiated from those in the other sector. The institutions in the university sector all award baccalaureate
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".