Representations of Families through the Children’s Drawings in Parental Divorce Incidents in Greece
Bibliographic record
Abstract
The purpose of the present research is the study of children’s perceptions through their drawings about their divorced families. Specifically the study is focused on the roles and functions in the family and the dynamics between the family members. Concerning the sample, it is consisted of 26 children’s drawings. The participants are aged between 5 and 12 years old (M=8.23, SD=2.42) and all of them are living with the mother. It is important to say that the present research was conducted when the parents were already divorced for six months or less. The psychometric tools which were given to each child were two kinds of drawings: (1) Corman’s static family drawing and (2) Burns & Kaufman’s kinetic family drawing. As for the results of the present study, it is shown that the 38.5% of the participants chose to draw their real family in the static family drawing, including though both parents, another 38.5% drew an imaginary family and the 23% drew an ideal family (relatives or friends). Concerning the kinetic family drawings, the 69.2% of the participants drew both parents. However the 30.8% is shown to interact with none of the parents or other familial members and also the self-figure is drawn isolated, without being a part of any subsystem, in the majority (61.5%) of the kinetic family drawings. Concluding, based on the fact that the drawings consist a projective assessment technique, they are able to show the children’s thoughts, emotions or desires. As a result, we can assume that the children do not seem to accept the recent parental separation, as the majority of the participants drew both parents. Nevertheless, there is a noteworthy percentage of drawings, where the participants’ self-figure interacts with no other person or tends to be totally isolated.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".