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
The decisions of if and when to have a first child are very important for any woman or couple. This paper develops a model to examine when a woman should begin trying to conceive, which depends on the personal circumstances and values of each woman. The model incorporates separate objectives for a woman's professional, social, and family aspects of life and integrates them into a quality-of-life function that includes the changing relative importance of these aspects with age over a woman's life. Descriptions of the relative quality of each of these three aspects of a woman's life are modeled over time for different cases. One case involves no child and other cases involve the woman giving birth at different ages from 21 to 50. The probabilities of conceiving when trying, as a function of a woman's age, are included. The relative pros and cons of waiting until the late thirties to have a child to avoid perceived detrimental impacts on one's career or social life are investigated. Several illustrations are included in the paper to demonstrate insights that can be generated using the model.
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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.005 | 0.034 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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