Experiences of fathering a baby admitted to neonatal intensive care: A critical gender analysis
Bibliographic record
Abstract
More fathers than ever before attend at the birth of their child and, internationally, there is a palpable pressure on maternity and neonatal services to include and engage with fathers. It is, thus, more important than ever to understand how fathers experience reproductive and neonatal health services and to understand how fathers can be successfully accommodated in these environments alongside their partners. In this paper we advance a theoretical framework for re-thinking fatherhood and health services approaches to fatherhood based on Critical Studies on Men (CSM). We illustrate the importance of this feminist informed theoretical approach to understanding the gendered experiences of fathers in a Neonatal Intensive Care Unit (NICU) setting in Northern Ireland. Using a longitudinal follow-up research design, with two data collection points, a total of 39 in-depth semi-structured interviews was conducted with 21 fathers of infants admitted to the NICU between August 2008 and December 2009. The findings demonstrate: (i) how men are forging new gendered identities around the birth of their baby but, over time, acknowledge women as the primary caregivers; (ii) how social class is a key determinant of men's ability to enact hegemonic forms of 'involved fatherhood' in the NICU, and; (iii) how men also encounter resistance from their partners and health professionals in challenging a gender order which associates women with the competent care of infants. An understanding of these gendered experiences operating at both individual and structural levels is critical to leading change for the inclusion of fathers as equal parents in healthcare settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".