Alternative and professional doctoral programs: what is driving the demand?
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
As part of an overall massification of higher education, enrollments in doctoral programs are expanding. At the same time, doctoral studies are subject to much scrutiny and reform in Australia, the UK and the United States. This work examines policy documents related to doctoral reform from these countries in order to offer a critique of their functionalist underpinnings. Central to doctoral reforms is the growth of the professional doctorate, which is proposed as an alternative to conventional PhDs that better prepares graduates to participate in non‐academic careers. In this work, the professional doctorate is examined from the dominant perspective of human capital theory. Alternative theories emphasizing conflict and competition in higher education are offered. Credentialism and the corporatization of higher education may provide more nuanced explanations of the growth of the professional doctorate. The article concludes with some thoughts on the impacts of policy on those whose lives are ultimately shaped by it: students and graduates who may be disappointed to find that human capital theory does not deliver on its promise of status and prosperity for society’s most highly educated workers.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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