Name-Letter Preferences for New Last Name and Abandoned Birth Name Initials in the Context of Name-Change via Marriage
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although the name-letter task is one of the most frequently used measures of implicit self-esteem, no research has examined whether the name-letter effect emerges for new last name initials and abandoned birth name initials in the context of marriage. Additionally, no systematic investigation has examined the robustness of the name-letter effect across age cohorts. In a large heterogeneous sample (N = 1,380), reliable letter preferences were found for new last name initials and for abandoned birth name initials, even after 20 years of marriage. In addition, robust name-letter effects emerged across all assessed age cohorts. Implications for the implicit self-esteem literature regarding the robustness of the name-letter task for married and nonmarried individuals of all post-pubescent ages are discussed.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it