Demarcating Gender and Sexual Diversity on the Structural Landscape of Social Work
Bibliographic record
Abstract
The importance of demarcating gender and sexually diverse populations in structural social work theory is discussed from a differently centred cultural group perspective highlighting distinct qualities that fall outside normative gender identities and heterosexuality. Historical oppression experienced by these populations has likened their inclusion in structural social work theory yet the continued marginalization of these populations and associated implications are not to be lost sight of. A means of bringing currency to structural social work theory with regard to these populations is to embrace liberationist goals taking intersectionality into consideration. Such goals are in alliance with the social work values of acceptance, self-determination and respect working towards social justice and emancipation, and go far beyond the rights-claims equality agenda that sustains a slightly varied hegemony, giving the social location of gender and sexually diverse groups relevancy and viability on the structural landscape of social work.
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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.011 | 0.110 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".