Mothering with an Intellectual Disability: A Phenomenological Exploration of Making Infant‐Feeding Decisions
Bibliographic record
Abstract
BACKGROUND: Mothers with intellectual disability are less likely than mothers without intellectual disability to breastfeed their infants, but there is little literature that addresses infant-feeding decisions among this population. This study explores experiences of mothers with intellectual disability in making and carrying out infant-feeding decisions. METHODS: Using a phenomenological approach, in-depth interviews were conducted with four mothers with intellectual disability. RESULTS: Analysis focused on making and carrying out infant-feeding decisions. Three sub-themes of making infant-feeding decisions emerged: being familiar with benefits of breastfeeding, owning the initial decision and preparing for infant-feeding. Two sub-themes of carrying out infant-feeding decisions transpired: facing challenges and receiving support. CONCLUSIONS: The prenatal period was a crucial time for the mothers regarding infant-feeding decisions. It is the time in which they felt the most decision-making power, yet opportunities to prepare for possible challenges were missed.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| 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".