Bibliographic record
Abstract
Excerpt from Guy Delisle's Pyongyang Guy Delisle (bio) Click for larger view View full resolution [End Page 77] Click for larger view View full resolution [End Page 78] Click for larger view View full resolution [End Page 79] Click for larger view View full resolution [End Page 80] Click for larger view View full resolution [End Page 81] Click for larger view View full resolution [End Page 82] Click for larger view View full resolution [End Page 83] Click for larger view View full resolution [End Page 84] Click for larger view View full resolution [End Page 85] Click for larger view View full resolution [End Page 86] Click for larger view View full resolution [End Page 87] Click for larger view View full resolution [End Page 88] Click for larger view View full resolution [End Page 89] Click for larger view View full resolution [End Page 90] Click for larger view View full resolution [End Page 91] Click for larger view View full resolution [End Page 92] Click for larger view View full resolution [End Page 93] Guy Delisle Guy Delisle was born in Quebec City in 1966 and has spent the last decade living and working in France. He has written and drawn graphic novels including Shenzhen: A Travelogue From China, and is currently working on one about his experience in Burma. Pyongyang is his first graphic novel in English. Copyright © 2008 President and Fellows of Harvard College
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) | 0.005 | 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".