Latent transitions across perceived parental marital conflict and family cohesion profiles in high school students
Bibliographic record
Abstract
This study aimed to explore the latent profiles across perceived parental marital conflict and family cohesion, as well as the transition patterns within-person and within-sample profiles over time. We conducted a 1-year follow-up study with a sample of first-year high school students from China. A total of 453 participants were included in the present analysis. We identified the following three latent profiles: high parental conflict and poor family cohesion profile, moderate parental conflict and family cohesion profile, and low parental conflict and good family cohesion profile. Female students and those who not lived with parents together were more likely to perceive more parental marital conflict and less cohesion in the family. The majority of students with high transition probability remained in the same profiles over time. The counts of latent transition pattern also demonstrated that students remaining in the primary profile over time accounted for the large proportion. The present study advances empirical bases for confirming the family system theory's notion that the family is not static, but dynamic. Findings provide the optimal timing of interventions toward healthy transition.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".