Lessons from the front line : post qualification training for social workers
Bibliographic record
Abstract
Several recent high profile cases (including the tragic death of Victoria Climbie) have highlighted perceived failures of child protection services. Post qualification training programmes have been introduced to provide front line social workers with contemporary specialised knowledge and skills in this complex field. This project follows a cohort of 36 child protection social workers (and their line managers) over eighteen months while they undertook the Post Qualification Child Care Award for England and Wales. A mixed methods, repeated measures, programme evaluation explored both the effectiveness and the impact of the training. Ipsative (self-referencing) evaluation data was triangulated against line manager, academic tutor and practice assessor evaluations. An action research philosophy ensured that formative findings were provided concurrently to the programme providers to effect timely redesign and remediation. Statistically significant increases in candidates’ levels of competency were demonstrated at the conclusion of the programme and at six months post-programme, suggesting both programme efficacy and effectiveness. An inexpensive user-friendly methodology for quantifying and measuring the acquisition of competency is presented. In general, respondents were enthusiastic about what they had learned and all respondents agreed that the programme improved standards for childcare work. Despite qualitative feedback expressing dissatisfaction with the delivery model, the candidates’ levels of enthusiasm for the programme decreased only slightly over the course, whilst line managers’ level of enthusiasm increased. Ninety percent of candidates reported stress associated with the combined pressures of work and the programme, yet their quantitative distress levels at the end of the program were actually lower than at the beginning. A number of adverse effects were identified. The conflict between the qualitative and quantitative findings is explored. The programme was further evaluated by means of a unique international comparison contrasting it to a parallel Canadian post-qualification educational programme. The result is a series of LESSONS FROM THE FRONT LINE, which have implications for the design and delivery of post-qualification training programmes for social workers, as well as other front line service delivery professionals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".