How Transferring Parents’ Unfulfilled Ambitions Onto Children Linked to Parental Burnout: Exploring the Mediating Mechanisms of Parental Perfectionism and Extrinsic Aspirations
Bibliographic record
Abstract
Previous researchers have not explored the link between parents transferring unfulfilled ambitions onto children and parental burnout (PB). Using cross-sectional data and structural equation modeling analysis, the present study examined the mediating roles of parental perfectionism (PP) and extrinsic aspirations on the path from parents transferring unfulfilled ambitions to PB in a sample of 491 Vietnamese parents (mean age = 39.22, SD = 6.83 years). Participants completed a survey covering demographic information, transferring unfulfilled ambitions, PP, parental extrinsic aspirations, and PB. Our main findings showed that (i) parents transferring unfulfilled ambitions negatively correlated with PB and (ii) the indirect effects of PP and parental extrinsic aspirations were significant. These results suggest that parents transferring unfulfilled ambitions onto their child(ren) might serve as both a protective factor and a risk factor for parental burnout, depending on whether it stands alone or interacts with other elements. Additionally, our results highlight the urgency of creating prevention and intervention programs for PB from the perspective of PP and parental extrinsic aspirations and considering cultural specificities in research and practice on PB.
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 | 0.002 | 0.006 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".