Sexual Orientation Disclosure and Strategic Navigation of Interpersonal Invisibility
Bibliographic record
Abstract
People with concealable stigmatized identities may strategically share or hide cues to their identity. They may likewise seek or avoid interpersonal invisibility (i.e., being ignored). Despite semantic similarities, identity concealment and invisibility are conceptually distinct, but existing empirical work has not explored whether they are independent-that is, whether people may sometimes reveal to be invisible, or conceal to be visible. To evaluate this distinction, we collected lesbian, gay, and bisexual (LGB) participants' free-response descriptions of situations where they revealed or concealed their sexual orientation to be visible or invisible (Study 1). Other LGB participants imagined social interactions in which they revealed or concealed their sexual orientation to be visible or invisible and rated their expected emotions in this situation (Study 2). We find that concealment and invisibility can occur independently of one another with separate effects on emotions, and that LGB people use identity disclosure and concealment to strategically navigate interpersonal invisibility.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".