Preventing Face Loss in Donor-Assisted Families
Bibliographic record
Abstract
Grounded in face theory (see Brown & Levinson, 1987; Cupach & Metts, 1994; Goffman, 1967) and exploratory in nature, the present study sought to understand the face-related experiences of parents whose children were conceived with an anonymous donor. The sample included 19 parents from the United States, United Kingdom, and Canada, who experienced infertility, were in a lesbian relationship, or identified as solo parents. The researchers identified face-related concerns parents have for themselves and their children and preventative facework strategies they enact to avoid or minimize face loss. Findings showcase parents’ desire for social approval, autonomy, respect, and preventing rejection. Also discussed are a variety of facework strategies, namely, disclosure, avoidance, closedness, humor, deception, and strategic donor choice. The findings support and extend previous research on donor-assisted families and showcase the complexity of face for members of these families by highlighting instances where communication simultaneously preserves and threatens face.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".