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
Less than 15% of ads are directed specifically to women and less than 5% are intended just for men. The remaining 80% are apparently targeted to everyone. This presumes very little difference in overall response between genders, which is strange, given that fundamental gender differences do exist. For example, women typically respond more positively to ads than men. Why should this be so? Is it intrinsic, is it cultural, or are there types of ads that work better with women than men, and vice versa? What leads to such differences? This paper reviews gender differences stemming from in-utero hormonal flows that shape the embryonic brain. How do such differences affect overall gender response to advertising? The findings show that advertising directed to just men or just women is more effective - yet paradoxically, it is seldom utilised, as most advertising appears to be targeted to both genders. In addition, although there is a wide range of effective styles of advertising and of content types that are demonstrably effective, many are comparatively neglected. Thus, there are opportunities for much more creativity and variety in the way advertising messages are communicated. The paper seeks to provide some clear pointers on how to go about this.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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