Knowing Nothing: Understanding New Critical Social Work Practice
Bibliographic record
Abstract
Individuals embarking on their journey to become professional social workers often state they feel as if they know nothing upon entering their practice. Regardless of the number of years critical social workers have practiced, they are also thought to know “nothing.†By utilizing a philosophical hermeneutic approach I chose to recognize that new critical social work ideas, theories and practices come from something and somewhere (Moules, 2002). This hermeneutic study involved interviewing six newly graduated social workers from with a declared critical orientation. I asked these budding new professionals to describe what happens when they begin working in organizations that may or may not support a critical ideology and how this influences their practice. Hermeneutic interpretations of the participant experiences suggest that this “nothing†is not devoid of meaning or method, but instead involves insinuating themselves and their ideas into their agencies in a delicate curvilinear manner.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.094 | 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".