What Should Children Learn? Americans’ Changing Socialization Values, 1986–2018
Bibliographic record
Abstract
Assessing changes in socialization values for children provides a unique window into how Americans perceive the landscape of their society. We examine whether, since the mid-1980s, Americans (1) emphasized survival values, like hard work, for children, as economic precarity rose or (2) prioritized self-expression values, like autonomy and compassion, as expected in postindustrial society. Analysis of 1986 to 2018 General Social Survey (N = 23,109) supports the precarity thesis: Preferences for hard work increased steadily whereas preferences for autonomy, the top-ranked quality throughout the period, declined. There was some indication of enduring self-expression values, as support for compassion increased and its relative importance to hard work stayed stable. Decomposition analyses show valuing hard work would have been even greater without demographic changes like an increase in college graduates. Aligning with earlier research, valuing obedience in children continued to decline. Our results extend theoretical work on complexities of socioeconomic links to parenting values.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".