Bibliographic record
Abstract
In the thesis I described the characteristics of attachment parenting. This is a way of education, which promotes breast-feeding, baby carrying, responding to his crying, joint sleeping, positive discipline and maintaining balance in the family. In the empirical part I presented the results of a research, which was used to find out what positions and educational principles have parents at the early stage and to what extent the educational practices base on principles of attachment parenting. The results were obtained with a questionnaire which was answered by 77 parents of children in the first age period. Many children were breastfed less than 6 months. As the most common reason for cessation of breastfeeding the parents contend that the mother did not have enough milk or the child did not want to suck any longer. The chi-square test calculation confirms that the child's mother's education affects the duration of breastfeeding – mothers with a higher education breastfeed longer. Parents often opt for sleeping with the child, only a quarter of them do not practice that. Unfortunately a half of the questioned parents have sometimes intentionally left the baby crying for a longer time, because they do not want to spoil the child or they believe that the baby can enforce his will with crying. Based on the obtained results I can estimate that a quarter of all questioned parents support the principles of attachment parenting, while others support it only partially or not at all.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".