Do I not belong here? Navigating social work as a racialized professional within the Moroccan diaspora in Catalonia
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
This article examines the recognition and visibility of racialized professionals in social work while also analyzing the professional practice of a racialized worker within the context of Catalan social work. The aim is to capture the elements that have facilitated or limited the process of social and educational intervention with users who are also racialized primarily from the Moroccan diaspora. Building on previous studies such as Badwall’s (2015) work in the Canadian context, this article highlights how racialized social workers are often perceived by their work environment as less competent. Using autoethnography as a research methodology, this study reviews professional practice to understand the factors affecting social and educational interventions. The findings reveal a process of labor ethnicization that negatively impacts the perception of professional competencies, often discrediting their interventions. Despite this, it is evident that establishing connections with users becomes a key strategy to enhance proximity and effectiveness in professional practice. The article concludes by calling for the development of new paradigms in social work that consider the processes of racialization and the experiences of immigrant-origin professionals as tools to promote more inclusive practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.008 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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