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Record W7004978634

Parents' subjective theories of physical punishment of preschoolers
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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.
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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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.595
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0450.000

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 teacher head, not a consensus.

Study designObservational
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

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