Negotiating Authenticity: Exploring Design Decisions of Reenactors' Regency Gowns
Bibliographic record
Abstract
There are currently about 4,500 members of the Jane Austen Society of North America within the United States and Canada. Members of Jane Austen groups frequently meet together for events such as balls and teas. During these events members are encouraged to wear “Regency” period dress (which roughly covers 1795-1820). Dress plays a major role in the activities of these groups and there is a desire among members to dress authentically. While scholarship exists regarding the authenticity, materials, and construction of extant garments from these time periods, there are few studies focusing on Regency costume as it is worn today. Therefore, the purpose of this research was to examine the “quest for authenticity” (Handler and Saxton 1988, p. 242) and subsequent design decisions of reenactors creating Regency gowns.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".