Investigating the Attitude of PCG University Students Towards their Parents and Towards Marriage
Bibliographic record
Abstract
The aim of this study is to investigate students in classes 1-2-3-4, studying Pyschological Guidance and Counselling (PGC) at a university in T.R.N.C. (Turkish Republic of Northern Cyprus) in their relationships with their parents and their attitudes towards marriage. The study includes 325 students and was conducted during the spring of 2015-2016. ‘Personal information forms’, ‘İnönü Marriage Attitudes Scale, ‘Attitudes towards Parents Scale I and II’ have been used in order to collect research data. The viewpoints of the student PCG group, who work with child and family, have been particularly focused in connection to all of these. The findings revealed that female students’ attitudes towards their mothers are better compared to that of male students. However, in terms of gender, no connection was found between attitude towards their father and their attitude towards marriage. As female PCG students’ attitude towards their mother increases, so too has their attitude towards their father and their attitudes towards marriage. For the men whose parents are still together (not separated), there is no link between their strong attiudes towards their parents and their attitude towards marriage. It has come to light that female students, whose parents are separated, have a stronger attitude towards their mother and father. No connection was found between the students’ parents being married or having separate living arrangements and the students’ gender. Male students with parents who live separately have a stronger approach towards their their mother and father.
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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".