Social Advocacy for Equal Marriage: The Politics of “Rights” and the Psychology of “Mental Health”
Bibliographic record
Abstract
Using the contemporary issue of equal access to marriage for same‐sex couples as a case study, we examine two distinctive frameworks within which social advocacy may be pursued. We argue that when we speak as psychologists, we use a discourse of mental health; when we speak as social activists, we use a discourse of human rights and justice. Although these two frameworks may converge in supporting equal access to marriage, they represent radically different ways of understanding inequality and advocating for social change. A discourse of mental health focuses on psychological damage or deficit (caused, for example, by the social exclusion of particular groups or individuals. A discourse of rights asserts universally‐applicable principles of equality, justice, freedom, and dignity. Further, the paradigmatic framework of psychology as an approach to understanding human beings in the world seems fundamentally antithetical to the conceptual framework of human rights, as a basis for social justice.
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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 | 0.018 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.118 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".