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Record W2528717335

Exploring Father Involvement: Fathers' Accounts of Paternal Involvement

2014· dissertation· en· W2528717335 on OpenAlexaboutno aff
Bethany Louise Metzger

Bibliographic record

VenueUWSpace (University of Waterloo) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsnot available
Fundersnot available
KeywordsDevelopmental psychologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

Fathers with children at home account for a substantial portion of the Canadian population. In contemporary Canada, a father’s role no longer consists of distant breadwinning, but rather actively engaging in a family-centered lifestyle and being more involved in child care. Extensive research has focused primarily on the experiences of mothers and given very little attention to involved fathers. This study sought out to explore how fathers understand and describe involved fatherhood. Six participants, who identified as engaged fathers, participated in conversational interviews. The findings suggest that daily interaction through child rearing and playing with children was viewed as part of the father role. As a result, fathers adjusted their paid work and leisure pursuits in order to “be there” for their children. Fathers resisted dominant gendered ideologies through completing ‘feminine’ domestic chores, providing emotional care, and taking full responsibility for children’s care throughout the week. Fathers also reproduced gendered norms, particularly during children’s play, and by not taking paid parental leave. This research found that fathers resisted and reproduced gendered roles, and negotiated numerous constraints to meet their fathering responsibilities, which did not consist of solely playing with children. Fathers’ involvement level is greatly influenced by leave policies in Canada; therefore changes to leave policies and pay equity are needed to support increased father involvement.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.059
GPT teacher head0.240
Teacher spread0.182 · 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 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
Published2014
Admission routes1
Has abstractyes

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