Network discrimination against LGBTQ minorities in Taiwan after same-sex marriage legalization: a Goffmanian micro-sociological approach
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
In 2019, the government of Taiwan legalized same-sex marriage, the first to do so in Asia. Yet, despite its celebration as a sign of liberal progress, legalization appears at odds with the results of referendums that show a majority of Taiwan citizens oppose LGBTQ acceptance, following a steady decline in tolerance for LGBTQ people in Taiwan. To explain this, this article adopts a Goffmanian micro-sociological approach to interrogate LGBTQ experiences of stigma and discrimination in their networks. Using narrative and go-along interviews with LGBTQ people in Kaohsiung, Taiwan in 2019, this article shows (1) latent forms of discrimination in families and at workplaces, (2) the intensification of discriminatory scrutiny within these spaces in the wake of legalization, (3) mental health consequences, and (4) social enclaves that offer some reprieve from discriminatory pressures. This article identifies a need for greater resource allocation to create safe spaces for members of the LGBTQ community and anti-discrimination policies to combat the capillary forms of discrimination that have arisen after same-sex marriage legalization.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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