Applying Feminist Poststructuralism as a Framework for Exploring Infant Feeding Interactions in the Neonatal Intensive Care Unit
Bibliographic record
Abstract
Childbearing/rearing families in Canada face a variety of conflicting discourses related to infant feeding, entrenched in a complex web of gendered, social, institutional and political discourses. For parents of preterm and/or critically ill infants, this area remains largely under-explored through a feminist lens. We offer a critical examination of the applicability of feminist poststructuralism (FPS) as a theory to explore infant feeding interactions in the neonatal intensive care unit (NICU). Scholarly literature from diverse perspectives, including nursing, healthcare, gender studies, and social sciences is critiqued and the use of FPS as a guiding framework for nursing research and praxis is discussed. We discuss FPS and the relevance of various discourses to explore the phenomenon of infant feeding interactions in the NICU. Ultimately, we propose that FPS does offer a relevant lens through which to critically examine infant feeding interactions and bring voice to the complex processes embedded in the NICU.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.033 | 0.072 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".