Slowing things down: taming time in the neoliberal university using social work distance education
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
The neoliberal university is described as a space where there is an ever-present ‘scarcity of time’ as faculty face increasingly high-paced demands for efficiencies and productivity. By this logic, students are produced as self-enterprising individuals, steeped in the values of competition, and solely invested in enhancing their human capital. Within this context, online education has gained prominence as an alternative to on campus, face-to-face post-secondary education. In this article, we draw on findings from qualitative interviews conducted with social work educators who teach using online-based pedagogy as well as recent graduates who completed their social work education in distance learning programmes. Our research explores how distance education shapes the pace of knowledge production in Canadian Schools of Social Work where a mandate to promote social justice-based professional practices coincides with time constraints associated with neoliberalism. Building on conceptualizations of temporality, we found that when mobilized as a time-saving measure, online programmes can exacerbate the intensified workload for both teachers and students, and they can also limit potential for equity and inclusion in the university. However, when mobilized as a ‘time-taming’ measure, adequately resourced distance social work education programmes offer possibilities of resistance to pressures faced in post-secondary institutions.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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