Comic Art as a Field of Study: Profile Interview: John Lent, Editor, International Journal of Comic Art
Bibliographic record
Abstract
Professor John A. Lent of Temple University, USA, is a well-known scholar to students, researchers and teachers of media and communication studies. He is one of the pioneers of communication education in the Asia-Pacific region, particularly in Malaysia, Philippines and China. He was the first coordinator of the mass communications programme at the Science University of Malaysia in early 1970s and has been involved in the teaching, writing and study of communications for more than 42 years. Among the honours he has received is as Fulbright Scholar in the Philippines and first Chair of the Rogers Distinguished Professorship at the University of Western Ontario, Canada. Lent has authored more than 60 books and published more than 200 articles. Among his well-known publications are The Asian Newspapers’ Reluctant Revolution, Newspapers in Asia, Broadcasting in Asia, Asian Cinema and Animation in Asia and the Pacific. He serves as editor and editorial board member of more than a dozen periodicals and chairs the Asian Popular Culture Group of the Popular Culture Association. In addition to founding and editing the International Journal of Comic Art, he has been chair of the Asian Cinema Studies Society and edited the Asian Cinema since 1994. In September 2004, Lent participated in three meetings coordinated by Mediaplus Consultants, in Singapore and Malaysia. He was the principal resource person for the inaugural Asian comic art meetings in Singapore (September 11) and in Petaling Jaya, Malaysia (September 13 & 14). Sankaran Ramanathan, chief operating officer of Mediaplus Consultants (www.mediaplusconsultants.com) spoke with Lent in Petaling Jaya.
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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 | 0.011 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".