RETIREMENT SECURITY AMONG THE NEVER MARRIED POPULATION
Bibliographic record
Abstract
older adults' psychological well-being, physical and cognitive functioning, and survival (Ory et al., 2003). In correlation with the pressures of societal expectations, beauty companies have implicated marketing strategies that appeal to the public through ageist campaigns, both overt and covert, that seek to gain profit through the exploitation of aging processes. By monitoring overt and covert displays of ageism in the marketing appeals of health and beauty television commercials, this study aims to explore any major shifts in ageist marketing appeals. By comparing three of the most highly marketed competitors in the cosmetic industry: L'Oral, Estee Lauder, and Revlon, changes in ageist marketing techniques will be analyzed. Based on a preliminary evaluation of the ageist marketing appeals of the L'Oral Paris cosmetic company, it is hypothesized that, upon further analysis, the three afore mentioned health and beauty companies will show a majorly positive correlation between the prevalence of overt and covert ageist marketing appeals in health and beauty commercials and the year of airing, from 1980 to 2015.
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.
How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".