Bibliographic record
Abstract
More than one‐quarter of Americans say they are more stressed this holiday season than in 2023, citing financial concerns and missing loved ones, according to a Nov. 25 news release from the American Psychiatric Association (APA). As the winter holidays approach, 28% of Americans say they are experiencing more stress related to the holiday season than they did last year, but the causes of their stress vary. A few of the top stressors identified were affording holiday gifts (46%), grieving a loss/missing a loved one (47%) and dealing with challenging family dynamics (35%). More than half of 18‐ to 34‐year‐olds (54%) reported being “very” or “somewhat” worried about affording holiday gifts, whereas only 38% of those 65 and older felt the same way. Although 2024 is an election year, only 23% of respondents said they were worried about discussing politics or current events with family over the holidays, consistent with what was reported in 2023. Along party lines, 30% of Democrats were concerned about talking politics at the holiday dinner table, but only 21% of Republicans shared their concern, and that number dropped to 17% for Independents. These results were drawn from the APA Healthy Minds Monthly Poll, which was conducted by Morning Consult, a business intelligence company, on Nov. 16‐17, 2024, among 2,201 adults.
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 | 0.000 | 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) | 0.006 | 0.003 |
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; both teacher heads agree on what is shown here.
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".