MétaCan
Menu
Back to cohort
Record W7004978634

Parents' subjective theories of physical punishment of preschoolers
\n
\n

2022· other· en· W7004978634 on OpenAlexaboutno aff

Bibliographic record

VenuePeFprints (University of Ljubljana) · 2022
Typeother
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsnot available
Fundersnot available
KeywordsPunishment (psychology)FeelingRegretSociology of punishmentQuarter (Canadian coin)Child disciplineAngerAction (physics)
DOInot available

Abstract

fetched live from OpenAlex

In this thesis entitled Parents' Subjective Theories of Physical Punishment of Preschoolers, first I described subjective theories, what influences them and how they change. Then I introduced the concept of authority, the three types of authority and the concept of child in different parenting styles. In the theoretical introduction, I have particularly focused on punishment in upbringing, especially on physical punishment. I explained what physical punishment means, how it is dealt with in the Slovenian law system, what physical punishment meant in the past and how it is presented today’s society. I have stated the consequences of physical punishment. The main purpose of the thesis was to find out what is the parents' attitude towards physical punishment of preschool children and whether they use it in the upbringing of their preschool child. \nThe results of the survey showed that the most parents follow their own inner feeling when raising their child. The opinion of one third of respondents is against physical punishment and they do not use it. More than a half are not in favour of it, but have used it before, and a few of them think that in some rare situations physical punishment is necessary. A quarter of respondents have never used physical punishment before, while others have used it at least once before. On average, the most frequently used physical punishment is a slap on the bottom, mostly because of the disobedience and inappropriate behaviour of their child. Most parents later regret their actions, but fewer apologise to their child. \n

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.005
GPT teacher head0.191
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePeFprints (University of Ljubljana)Same topicIchthyology and Marine BiologyFrench-language works237,207