Lovers for a time, mothers for life: Ecosystemic analysis of blended family experiences of lesbian mothers and stepmothers
Bibliographic record
Abstract
Abstract This article presents results of a qualitative study of blended lesbian‐headed families with children from previous same‐sex relationships. Conducted in partnership with the LGBT Family Coalition, this study adopts an ecosystemic approach to document the experiences of parental separation and family blending of 17 ( n = 17) lesbian mothers and stepmothers in the province of Quebec, Canada. The challenges these women face in these periods of transition, particularly in terms of post‐separation co‐parenting and family reorganization, are analysed with particular concern for the daily stresses of heterosexism and membership in a sexual minority. Various strategies used to overcome these challenges, the positive outcomes of creating blended families and the stepmother's place and role within the family are examined. A discussion of the support and intervention needs of these families concludes the paper.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".