Han Yu (2015). The Other Kind of Funnies: Comics in Technical Communication. New York, NY: Baywood Publishing Company.
Bibliographic record
Abstract
Han Yu’s "The Other Kind of Funnies: Comics in Technical Communication" challenges the notion that technical writing is too “rational” or “serious” to accommodate the conventions of comics-style communication. She does this by illustrating comics’ unique ability to distill and reinforce information in ways entirely appropriate not just for complementing the purposes of many technical writers, but also for fulfilling the needs of their diverse audiences. The book’s major strength lies in Yu’s capacity to locate the productive nexus between two ostensibly dissimilar modes so that by the final chapter those connections seem not only probable, but natural. This text will be especially useful to scholars of rhetoric (particularly those invested in visual culture and/or technical writing) and practitioners of technical writing eager to embrace new (or in some cases re-embrace older) ways of seeing the relationship between textual and visual elements. The clarity with which Yu distils complex theoretical concepts makes this book appropriate reading for undergraduate or graduate courses as well as for non-scholarly audiences.
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 | 0.001 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".