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
Drawing from the gender wage gap literature, we explore four possible causes of sexual minority earnings gaps: (1) variation in human capital and labor force participation, (2) occupational and industrial sorting, (3) differences in the institutional organization of the public and private sector, and (4) different returns to marriage and parenthood. Using the 2006 Census of Canada, we find that heterosexual men earn more than gay men, followed by lesbians and heterosexual women. Oaxaca-Blinder decompositions show that industry of employment, rather than occupation, disadvantages gay men, lesbians, and heterosexual women. High levels of educational attainment lead to employment in lucrative occupations, but sexual minorities earn significantly less than heterosexual men within these occupations. Wage gaps are reduced in the public sector for heterosexual women, gay men, and lesbians. Finally, we find that heterosexual women experience a motherhood penalty, heterosexual men experience a fatherhood premium, and both receive a premium for marriage; however, the presence of children and marriage have no effect on the earnings of either gay men or lesbians in conjugal relationships.
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 | 0.000 |
| 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