Gender-based violence (GBV) against women with precarious legal status and their access to social protection in advanced welfare societies: an analytical contribution to reconstruct the research field and its institutional development
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
Abstract The aim of this paper is to map the emergence and development of a research field around the topic of “gender-based violence (GBV) against women with precarious legal status and their access to social protection in advanced welfare societies”. We explore the academic knowledge production around this topic as a specific research field by using bibliometric data. We investigate the place occupied by scholars who publish in well-established journals, and their disciplines, in order to understand the relevance of different disciplines and groups of researchers in the knowledge production within the field. Our methodology includes analysis of co-authorship, cross-country collaboration, and co-citation. The search strategy is informed by discursive practices and knowledge production by influential international civil society actors (CSAs) involved in framing welfare responses to GBV against women with precarious legal status. Our results suggest that the knowledge produced in the field increased in terms of number of publications between 2010 and 2021, indicating a process of institutionalisation. Disciplines oriented towards certain groups of professionals such as clinical psychology, medicine, health, nursing, and social work, affiliated mainly to institutions in the US, Canada, and the EU, have a prominent role in knowledge production in this field. In our conclusions, we discuss the implications of these results in relation to gender studies and migration studies, along with some limitations of the use of bibliometrics software combined with an intersectionality approach.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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