A challenged professional identity: the struggles of new social workers in China
Bibliographic record
Abstract
This paper reports the findings of a qualitative study of how 28 new social workers in China experienced challenges during the early formulation of their professional social work identity in the workplace. Through social work training at the school, they had been taught that some key social work values were core elements of their social work professional identity. These values have informed their daily practice. However, negative experiences in the emerging social work field in China have hampered not only the advancement of their long term commitment to social work, but also have constantly weakened their fragile professional identity. In light of these findings, the paper proposes that universities, social work organizations and governments should work together to promote a better environment for new social workers and to help them continue in the field. To obtain official support and public recognition towards social work, to delineate the role, responsibilities and authority of this profession in the social service system, the creation of a job induction plan and a professional supervision system are essential for future social work development in China.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.036 | 0.021 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| 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 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".