State versus trait conceptualizations of parental monitoring: a formulation and review
Bibliographic record
Abstract
We propose and evaluate two competing conceptualizations of parental monitoring of youths’ activities—a trait conceptualization and a state conceptualization. In a trait conceptualization, the level of monitoring is largely stable over time within families and youth behavior at any given moment is affected by the overall level of monitoring over a long period (e.g., past few months, past year). In a state conceptualization, the level of monitoring varies substantially from moment-to-moment and youth behavior at any given moment is affected by the current, acute level of monitoring. The trait and state conceptualizations have contrasting implications for designing research, identifying causal mechanisms, intervening with families to improve monitoring, and anticipating how youth will respond to temporary changes in the level of monitoring. Reviewing the literature, we find that most prior research has implicitly adopted the trait conceptualization, despite there being little theoretical analysis or empirical evidence to justify the choice of one conceptualization over the other. No study has reported on the day-to- day stability of monitoring, though a handful have reported low day-to-day stability for closely related constructs (e.g., parental knowledge). Too few studies have tested shorter-term or acute effects of monitoring to make strong conclusions about the timescale of effects, though available evidence suggests there is no effect of overall monitoring measured today on youth outcomes measured 6-12 months later. We conclude that whether monitoring is best conceptualized as a trait or state remains an important open question.
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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 | 0.000 | 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) | 0.000 | 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".