Translation and Validation of a French Version of Brown’s Support Behaviors Inventory in Perinatal Health
Bibliographic record
Abstract
This article describes the process used for translation, testing for reliability and validity, and establishing factor structure of a French version of Brown's Support Behaviors Inventory (SBI-Fr). The objective was to provide an adequate self-report measure of satisfaction with social support during the perinatal period for use with a Francophone population in Québec, Canada. When compared with the English version, the French version had similar qualities regarding reliability and validity, but principal component analysis (N = 271) revealed that the SBI-Fr measures two distinct subscales, perceived satisfaction with partner's and others' support. The availability of the SBI-Fr will facilitate the inclusion of Francophone respondents in studies of satisfaction with social support during the perinatal period and permit cross-cultural comparison between Francophone and other populations in not only Canada but also other French-speaking countries.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".