Anticipated Discrimination and a Career Choice in Nonprofit
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
As a stigmatized group, lesbian, gay, bisexual, transgendered (LGBT) individuals are vulnerable to employment discrimination and receive little legal protection. They have had to cope with discrimination and engage in identity management to conceal their sexual identity. This study seeks to determine whether LGBT individuals, in anticipation of discrimination, have lower initial career expectations, espouse more altruistic work values, and make career choices based on those work values, when compared to heterosexual individuals. Using data from a large survey of postsecondary students, we found that LGBT individuals, after controlling for age, visible minority status, and major of study, reported lower salary expectations than heterosexual individuals. LGBT individuals were also more likely than their heterosexual counterparts to espouse “altruistic” work values and to indicate a career choice in the nonprofit sector. We suggest that “altruism” may be an important work value that is related to a career choice in the public and nonprofit sectors.
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 | 0.002 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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