Alicia Ross: Lily Among the Thorns (ON)
Bibliographic record
Abstract
Episode 053 - In Thornhill Ontario, on a warm summer night in August of 2005 25-year-old Alicia Ross vanished from her family home without a trace. The intense search proved fruitless and foul play was expected early on. Alicia's disappearance left a city in fear and her family and friends sick with worry. When someone came forward with news, it was the worst kind. NOTE: Show co-hosted by temp co-host @carolbrowne as Scott is away in Australia. Sources: AliciaRoss.ca R. v. Canadian Broadcasting Corporation, 2007 CanLII 21124 (ON SC) Wikipedia Article: Alicia Ross America's Most Wanted (archived) - Missing: Alicia Ross Newspapers.com - Search for Alicia Ross SeanHine.com MyJewishLearning.com - Why Jews Hang a Mezuzah on the Doorpost Support the show: https://www.patreon.com/darkpoutine See omnystudio.com/policies/listener for privacy information.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.227 | 0.043 |
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; both teacher heads agree on what is shown here.
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".