Being by myself and believing in us: the experience of pregnancy and childbirth during an intimate partner's military deployment
Bibliographic record
Abstract
Introduction: Pregnancy and childbirth are life-altering events. For military families, pregnancy and childbirth can occur in tandem with the family's experience of a military deployment. The central issue is that an overseas deployment of an intimate partner introduces unique stressors and responsibilities that can challenge a pregnancy and increase the risk of preterm delivery and postpartum depression. The objective of this study was to extend current understanding, from the perspective of women in Canadian military families of how pregnancy and childbirth are experienced during an intimate partner's military deployment and of how supports and resources shaped the experience. Methods: This study was conducted in eastern Canada by interviewing women in Canadian military families who had experienced pregnancy or childbirth during an intimate partner's deployment in the past two to five years. Valid consent for confidential participation and demographic information were collected prior to the interviews. A descriptive phenomenological approach allowed for women's stories to be explored and for the over-arching theme ‘being by myself and believing in us’ to be uncovered. Results: The meaning of the experience of pregnancy, childbirth, and deployment was both integrated and opposing. Women experienced simultaneously “being by myself,” physically alone or in a world that did not understand their experience, and “believing in us,” the possibility of having a child, of a partner's return, and of becoming a family. Sub-themes that provided further understanding of the experience included: working it out time wise, longing for togetherness, appreciating technology, protecting us, knowing that somebody is there, and homecoming. Discussion: The implications of this study include laying a foundation for future research and guiding improvements for supportive perinatal care.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".