Bibliographic record
Abstract
NiCHE archived three presentations from the 2011 Canadian Historical Association annual meeting held in Frederickton, NB. Citation : David Hackett Fischer et la, "Roundtable on John Weaver’s The Great Land Rush and the Making of the Modern World, 1650-1900," Canadian Historical Association Conference, 2011. Running Time : [1:22:48] Bio : David Hackett Fischer, Brandeis University, Bill Parenteau, University of New Brunswick, Jane Errington, Royal Military College, Ann McGrath, Australian National University, and John Weaver, McMaster University. Abstract : Roundtable on John Weaver’s The Great Land Rush and the Making of the Modern World, 1650-1900, winner of the 2010 François-Xavier Garneau Medal / Table ronde sur le livre The Great Land Rush and the Making of the Modern World, 1650-1900 de John Weaver, lauréat de la médaille François-Xavier-Garneau 2010. This recording includes a wide range of perspectives on Weaver's award winning book along with a responce from the author.
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) | 0.832 | 0.009 |
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; both teacher heads agree on what is shown here.
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".