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Record W4386964263 · doi:10.21203/rs.3.rs-3353142/v1

“Boys Love Boy Toys”: A Qualitative Study Exploring the Role of Fathers in Young Boys’ Gendered Toy Preferences

2023· preprint· en· W4386964263 on OpenAlexaff
Julia Tesolin

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsPsychologyGirlDevelopmental psychologyPreferenceSocial psychologyGender roleScale (ratio)Qualitative research

Abstract

fetched live from OpenAlex

Abstract Early childhood is an especially important period for children’s acquisition of gender related attitudes and beliefs. For boys, fathers serve as one of the primary social influences through which they learn about common gender stereotypes, including gender-typical and cross-gender play. The current qualitative study was conducted with six boys (ages 4–6) and their fathers (ages 34–37), where fathers were first asked to complete an adapted version of the Child-Rearing Sex-Role Attitude Scale, which assessed their attitudes and beliefs about gender related toys, activities, and behaviors. Semi-structured interviews were conducted with the father-son pairs, or with the boys alone, where they participated in a series of toy-preference activities. Descriptive coding and content analysis were used to analyze the responses boys provided for their choices of toys. Responses indicated that boys have a more stereotyped definition of “girl toys” than they do of “boy toys”. Fathers’ self-described beliefs reported on the Sex-Role Attitude Scale were similarly reflected in their behaviours and comments during the interviews with their sons.

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)0.012
metaresearch head score (Gemma)0.010
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 score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.006
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.393
GPT teacher head0.495
Teacher spread0.102 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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