Bibliographic record
Abstract
Marie Dressler was a top star who died at the height of her popularity. Her career is thoroughly documented, and this synopsis unavoidably recounts the tireless efforts of biographies by Betty Lee and Matthew Kennedy. She remains a comedienne with a loyal following, with a foundation and museum in her birthplace of Cobourg, Ontario. In the context of women behind-the-scenes in early film production, Dressler provides an example of a failed attempt to turn stage and screen fame into an eponymous production company where she had a hand in writing the resulting two-reelers. In the mid-1910s, it was common to turn movie stardom into professional autonomy by creating an eponymous film company. Dressler’s self-produced films were the last before a well-mythologized descent into poverty and reemergence as an MGM early-sound star with the help of loyal friend, screenwriter Frances Marion. Her decline coincided with well-publicized off-screen activities including the World War I bond drive and the 1919 Actors’ Equity strike. Assertions that she was the victim of anti-union blacklisting remain unsubstantiated by her biographers Lee and Kennedy, who conclude instead that she had simply spent too much time off stage and screen, or in lackluster roles.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".