(Trans)Gender Role Expectations and Child Care in Samoa
Bibliographic record
Abstract
Samoan transgendered males are known as fa'afafine. Although Samoan women are characterized as the primary child care providers, fa'afafine report elevated willingness to invest in nieces and nephews compared to men and women. We hypothesized that Samoans hold unique transgender role expectations such that fa'afafine are expected to invest more toward nieces and nephews compared to others. Participants (N = 214) included Samoan men (30.23 years ±8.19), women (30.00 years ±10.93), and fa'afafine (30.25 years ±7.45). For a variety of child care activities, participants nominated men, women, fa'afafine, or all three of these categories of individuals as responsible for investing toward nieces and nephews. Participants also reported how frequently their family members asked them to perform these activities for nieces and nephews. Responsibility for performing these activities was typically designated for women; men and women viewed fa'afafine as least responsible. Men's, but not fa'afafine's, family members asked them to allocate investment toward nieces and nephews more frequently. These findings are not consistent with the transgender role expectation hypothesis. Discussion details how the findings contribute to the literature on child care in Samoa. Alternate hypotheses for explaining why fa'afafine report elevated willingness to invest in nieces and nephews are considered.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".