Supervision of Information Communication Technologies in Social Work Practice: A Mixed Methods Study
Bibliographic record
Abstract
Abstract The integration of informal information and communication technologies (ICTs) has transformed social work practice, yet the use of ICTs in practice is not commonly discussed in supervision. The aim of this sequential mixed methods study was to understand the factors associated with social workers’ discussion of informal ICT use in supervision, and the considerations that influence these discussions. A logistic regression was conducted using data from Canadian #socialwork survey participants in organisational settings (n = 958). Quantitative findings were integrated with the qualitative findings from a reflexive thematic analysis of participant interviews (n = 22), some of which occurred during and were impacted by the COVID-19 pandemic. Based on our integrated findings, supervisory ICT discussion was highly dependent on organisational policy and supervisors’ interpretation of these policies. The setting in which the survey participants worked was also associated with ICT discussion in supervision. In making their decisions to discuss ICT use, interview participants further highlighted the importance of the supervisory relationship based on supervisor qualities and availability.
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How this classification was reachedexpand
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 | 0.016 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.010 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".