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Record W4285594174 · doi:10.1111/fare.12731

Hearing from First Nations Dads: Qualitative yarns informing service planning and practice in urban Australia

2022· article· en· W4285594174 on OpenAlexaboutno aff
Anton Clifford‐Motopi, Ike Fisher, Sue Kildea, Sophie Hickey, Yvette Roe, Sue Kruske

Bibliographic record

VenueFamily Relations · 2022
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
FundersLowitja Institute
KeywordsQualitative researchPerceptionIntervention (counseling)PsychologyUnit (ring theory)Service providerDevelopmental psychologyService (business)Gender studiesMedicineNursingSociology

Abstract

fetched live from OpenAlex

Abstract Objective This qualitative study explores the experiences and perceptions of new and expectant First Nations fathers in an urban setting in Australia. Background Little is known about the experiences of First Nations men as fathers, including their transition to fatherhood and their strengths and challenges as fathers. Method Eight First Nations men who were expectant or new fathers participated in individual yarning interviews. Data were analyzed using descriptive phenomenological analysis. Results Men perceived a father to be a protector, provider and someone who reflects on how to be a better father. To be a better father, men were trying to heal and learn from their past and build their identity as a father, while managing the stress of fatherhood. Conclusion The study identified four strategies to support new First Nations fathers: (a) create gathering places for men to connect with and learn from other dads, (b) maternity and early childhood services should be inclusive of men and their role as fathers, (c) clinical intervention and supportive pathways into fatherhood, and (d) promote and celebrate the strengths and roles of First Nations fathers. Implications Maternity and early childhood services can better support First Nations men in their transition to fatherhood by being more responsive to their needs and inclusive of their important role in child development and strengthening the family unit.

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 score0.509
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.145
GPT teacher head0.440
Teacher spread0.295 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

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