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Record W1809721849

A comparative study of children's fears and fear displays in Canada and Australia: What are they afraid of and how do they show it?

2004· article· en· W1809721849 on OpenAlexaboutno aff
Reesa Sorin

Bibliographic record

VenueResearchOnline at James Cook University (James Cook University) · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHuman factors and ergonomicsDevelopmental psychologyInjury preventionSuicide preventionPoison controlMedicine
DOInot available

Abstract

fetched live from OpenAlex

While a number of emotions are considered to be innate or present from a very early age, the way they are understood and displayed is determined by social and cultural as well as biological factors. Adults or "expert others" from the environment in which children live can facilitate young children's development of emotion understanding and display. Yet adults do not always recognise emotion and emotion display in children. This paper discusses a cross-cultural study of the emotion of fear. In Canada and in Australia caregivers were asked to name fears that preschool-aged children (3-5 year olds) experience, and to describe how these children show fear. While some differences were found in fears and fear displays, a much greater difference was found in their incidence. For example, 55 % of Canadian caregivers reported young children to have a fear of loud noises, whereas only 11 % of Australian caregivers reported this fear. Forty-five per cent of Canadian caregivers reported that children display fear through their body language, while only 10 % of Australian caregivers reported this fear display. Issues of similarity and difference in fear and fear display as reported by caregivers in both countries are examined and recommendations made for early childhood pedagogical practice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

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

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 head0.034
GPT teacher head0.283
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2004
Admission routes1
Has abstractyes

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