#socialwork: An International Study Examining Social Workers’ Use of Information and Communication Technology
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
Abstract Information and Communication Technologies (ICTs) permeated social work practice before coronavirus disease 2019 (COVID-19). In addition to ICT-based formal services (e.g. e-counselling), social workers used ICTs informally as an adjunct to face-to-face practice. Building on our previous research, our cross-sectional online survey examined social workers’ informal use of ICTs in four countries: Canada, the USA, Israel and the UK. The survey was administered through Qualtrics software among social workers across Canada (n = 2,609), the USA (n = 1,225), Israel (n = 386) and the UK (n = 134), and analysed using IBM SPSS Statistics version 26. The findings substantiate the ubiquitous use of informal ICTs in social work practice, as an adjunct to face-to-face treatment, across the four countries. Given the current, unprecedented context of COVID-19, we discuss the meaning of our findings related to access, ethical considerations (e.g. professional boundaries) and supervision in the context of restricted face-to-face practice. We discuss the implications for social work practice, education and research, and conclude that in the COVID-19 context, there is an even greater need for research, clinical discussion, supervision and policy on informal ICT use in social work practice.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| 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