Gender-Neutral Language Practices by Nonbinary and Gender-Diverse Spanish-Speakers
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
This article examines current uses of gender-neutral and inclusive language in the Spanish-speaking world to determine how gender-diverse speakers describe themselves and others within the binary grammatical gender system of Spanish. The linguistic data were collected through an anonymous online survey distributed to 141 LGBTQ2S+ organizations based in Spanish-speaking countries. The survey was completed by 132 participants who self-identified as agender, demiboy, demigirl, gender fluid, gender queer, nonbinary, or transgender. The findings confirm that neopronouns and neomorphemes are highly used and accepted by this population, with certain ones preferred over others depending on the medium of usage. Uniform agreement with matching morphemes is more accepted than mixed agreement with nonmatching morphemes. This study has implications for teachers and learners of Spanish in terms of acceptability and usage of gender-neutral language in various gender nonbinary Spanish-speaking communities.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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