Between Webs of Obligation: Exploring the Lived Experiences of Mothers Serving in the Canadian Armed Forces
Bibliographic record
Abstract
With the increasing participation of women in the work force, the experiences of women in the military have generated interest in the work-family and military family literature. Furthermore, with the diverse composition of military personnel, the Canadian Armed Forces and others militaries are witnessing a growing number of their female population having to mediate between the roles and demands of motherhood and military life. However, the particular experiences of mothers in the military have not been well reflected in the literature. The military institution has unique characteristics that separate it from most other employers because it has a legal mandate that allows institutional needs to supersede those of its members and their families. The Canadian Armed Forces recognizes its impact on family life; however, it has paid little attention to the particular experiences of women as mothers. The knowledge and resources to guide social workers and educators with this client population is limited. The following study is located between the military as a place of work and family. Using interpretive phenomenological approaches, the study explores the lived experiences of ten mothers in the Canadian military as they mediate between multiple webs of obligation arising from their roles and mothers and soldiers.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.033 | 0.016 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 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".