Safety Issues for Social Workers Engaging in Anti-Trafficking Work
Bibliographic record
Abstract
It is critical for state governments and social service agencies to promote, monitor, and protect the safety of social workers in all workplaces—especially those in anti-trafficking practice. According to NASW (2013, p. 5), a considerable number of social workers have been targeted in verbal and physical assaults. Some have even been injured, and others have lost their lives “in the line of duty.” Social workers have been murdered in the United Kingdom, Canada, the United States, and Malaysia (ABS-CBN News, 2009; Dickerson, 1998; Donoghue, Dover, & Burbank, 2015; Epoch Newsroom, 2018; Smith, 2019; Turner, 2019). Specifically, a social welfare officer named Finardo Cabilao was found dead in his home in 2009. He fought against the exploitation and trafficking of Filipino women in Malaysia and was murdered because of his anti-trafficking work (ABS-CBN News, 2009). As a social worker, Cabilao’s death...
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.
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 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.025 | 0.008 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.012 | 0.008 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".