Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Canada as in many other developed countries, universities have reconfigured their degree offerings to focus on preparing students for jobs, yet employers are increasingly dissatisfied with the skills of university graduates. Employers deplore shortcomings in fundamental areas such as critical and creative thinking, analysis, and literacy. International studies confirm that competencies in these areas are declining. Neoliberal policies of recent decades instituted a tertiary education funding model under which costs are shared between the public and students, now seen as clients, and a regulatory model that opened the market to private colleges and universities. In parallel, university enrolments more than doubled even as secondary schools abandoned formal teaching of the literacy skills needed to prepare students for university study. This massification of tertiary education led to the dismantling of the academic programs that honed literacy and intellectual skills in favour of applied programs more suited to the lower literacy of the new cohorts. Given that the funding and admissions models of publicly supported universities now preclude the offer genuinely academic degrees, it will fall to the private sector to move beyond the creation of private applied colleges to support the establishment of independent universities dedicated to offering academic programs.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it