Transitioning Into the Role of Mother Following the Birth of a Very Low-Birth-Weight Infant
Bibliographic record
Abstract
This qualitative grounded theory pilot study investigated the concerns and coping mechanisms of mothers of very low-birth-weight (VLBW; <1500 g) infants following discharge from the neonatal intensive care unit in Alberta, Canada. In-depth, semistructured, face-to-face, audio-recorded interviews were conducted with women of VLBW infants. Interviews lasting 75 to 90 minutes were transcribed verbatim and coded using grounded theory methodology. Data saturation and theoretical redundancy were achieved in interviews with 6 mothers of VLBW infants. The core variable of "reconstructing normal" emerged from the interview data. Women indicated that mothering a VLBW infant is an unfolding experience that is continuously being revised, creating a new sense of normal. The construct consists of 4 categories; mother-infant relationship, maternal development, maternal caregiving and role-reclaiming strategies, and infant developmental milestones. Findings from this study suggest that women found the transition into motherhood following the birth of a VLBW infant as a multidimensional and dynamic process. Further research is warranted to confirm these results and to further explore mothering issues with VLBW infants.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".