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Record W2513524423 · doi:10.1080/13229400.2016.1212727

Generative fathering: a framework for enriching understandings of fathers raising children who have disability diagnoses

2016· article· en· W2513524423 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Family Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGenerative grammarReciprocity (cultural anthropology)Medical diagnosisVariety (cybernetics)PsychologyRelation (database)Project commissioningDevelopmental psychologySociologyPublishingSocial psychologyMedicineComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Theoretical frameworks that support understandings of fathering children who have disability diagnoses are under-developed. The purpose of this theoretical paper is to present the generative fathering framework, interfaced with critical disability studies theory (CDS), for enriching understandings of fathering children with disability diagnoses. The authors introduce generative fathering, and follow this with an examination of the generative fathering assumptions: (1) fathers are responsible for meeting children’s needs through a ‘variety’ of fatherwork, (2) father–child connection results in a reciprocity of benefits, and (3) fathers’ strengths are cultivated amidst challenges – which is argued to be distinctly relevant to fathering in relation to children with disability diagnoses. A sample of relevant literature is drawn together to direct the discussion and to elaborate how the generative fathering framework can be informed by CDS to guide fuller understandings of fathering children with disability diagnoses.

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.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 science0.0000.000
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 head0.198
GPT teacher head0.447
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