Bibliographic record
Abstract
Hogweed consists of the first seven chapters of a novel in progress. Set in Toronto's Park-dale neighbourhood, the story follows the quotidian adventures of eleven year-old Clare Lowy and her best friend, Florian Weatherup. Clare and Florian enjoy a middle-class existence that is relatively carefree, though not without the prick of family tensions and the harassment of the class bully, Kevin R. They spend their after-school hours playing games in the alley behind their street and spying on the Pamphleteer, the outspoken activist next door. As Clare's twelfth birthday approaches, her greatest concern is the loss of imagination that she believes characterizes the passage into adulthood. But when a fantastical growth of plants and trees threatens Toronto's very foundations, Clare must also contend with the environmental, political, and personal repercussions of the disaster. As the domineering Mayor Lash limits civil freedoms in response to the uncontrollable growth, Clare finds the motivation in her relationships and her own imaginative powers to help create a more sustainable city. The focus of these chapters is the development of character and place, but the larger work will explore notions of community, responsibility, and agency.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.137 | 0.020 |
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".