IDIOMA E IDENTIDAD DE GÉNERO: IS LIFE SATISFACTION INFLUENCED BY GENDERED LANGUAGE?
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
Gender identity and language are important aspects of every human being’s life. Therefore, it is fair to assume that gender identity and language may directly impact peoples’ well-being (e.g., Life satisfaction). However, identifying as a certain gender (e.g., Male, Female, Genderqueer) is not enough. According to Langer (2011), people need language to communicate and voice their experiences with their gender identity. Without language, people cannot validate themselves nor be validated by others. However, grammar creates an obstacle for non-binary identifying individuals (e.g., Agender, Gender Fluid). There is a lack of language that could potentially help individuals verbalize their experiences as well as facilitate communication with others (Lotsy & O’Connor, 2018). This language absence suggests that despite gender diversity becoming more prevalent in mainstream media (Whyte et al., 2018), there is still a lack of gender-appropriate language for those who identify outside the gender binary to express their gender identity. Department: Psychology Faculty Mentor: Dr. Sean Rogers
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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