Bibliographic record
Abstract
Stan Lee (b. 1922), cocreator of the Amazing Spider-Man, the Fantastic Four, the Incredible Hulk, and the Uncanny X-Men, is one of the most successful writers and publishers of comics. During the 1960s and 1970s, he wrote superhero adventures for Marvel Comics. His storylines imbued the genre with angst and contemporary politics and focused as much on the personal lives of his characters as on heroics. His work, in collaboration with cartoonists such as Jack Kirby and Steve Ditko, remains deeply influential. His role as a spokesperson and impresario for Marvel paved the way for the superhero genre to be taken seriously by the critical establishment and for the penetration of Marvel Comics into mainstream American culture. Stan Lee: Conversations collects interviews ranging from 1968 to 2005. Lee's charm, good humor, and keen business sense are on display. He has spirited conversations with cartoonists Jack Kirby, Harvey Kurtzman, and Roy Thomas, talk show host Dick Cavett, and Jenette Kahn (head of DC Comics, Marvel's rival), among others. He talks with candor about his creative process, publishing, film and television adaptations of his comic books, and the evolution of the comics industry. The volume concludes with a new interview conducted by the editor. Jeff McLaughlin is assistant professor of philosophy at Thompson Rivers University in Kamloops, British Columbia.
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 | 0.001 |
| 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 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".