ELLE of an Opportunity: Student Writers, Civic Audience, and Auction Genre
Bibliographic record
Abstract
Every February, the Charlottetown chapter of the Canadian Heart & Stroke (H&S) Foundation hosts the “Razzle Dazzle Red” gala, a fundraising event that includes a sit-down dinner and silent and live auctions. “ELLE of an Opportunity” is the name of the very first live auction item, a coordinated jewelry set, listed in the gala program for 2014. Text developed for the jewelry enticed bidders to go big and to go fashionably home: student writer Dani MacDonald invited auction attendees to “hop right onto the trend of big, bold jewelry with this triad from ELLE Canada! The oversized ruby ring adds a note of edginess without compromising sophistication. Pair the ring with matching ELLE ruby earrings and necklace to complete your brave and bold new look!” Who could resist such a high-powered sales pitch?
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.027 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".