Enablers, markers, and aspects of quality innovative placements across distance: insights from a co-operative inquiry
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
Internationally, COVID-19 has forced educational reform and disrupted already strained social work field education systems. This inquiry began pre-pandemic, responding to placement scarcity, which was only exacerbated by the pandemic as agencies migrated to online service delivery and universities responded to sudden placement cancellations. Educators found themselves navigating two interlinked global trends: 1) workplace learning that was changing radically; and 2) the immediate need to identify and develop placement opportunities. This article presents themes from a co-operative inquiry that interrogated four innovative international placement scenarios from Australia, Canada, Ireland, and New Zealand, highlighting enablers, markers, and aspects of quality learning. The four exemplars evidence the pedagogical challenges and opportunities presented by placement innovation and online learning. These placements reveal how tensions regarding placement scarcity, rapid placement innovation, and the concurrent need to mitigate risk while preserving placement quality were managed. The authors propose that creativity and innovation guided by well-articulated educational principles, learning outcomes, and pedagogical practices, promote the construction of quality placements that transcend potential risks. The challenge moving forward is upholding contemporary approaches to placement teaching and learning that ensure social work students’ acquisition of professional knowledge, values and skills that are necessary for practice.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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