UMaine/ University of New Brunswick Graduate History Conference
Bibliographic record
Abstract
For the past fourteen years the University of Maine and University of New Brunswick have hosted a collaborative graduate student conference to showcase the scholarship of emerging graduate students in the fields of history and Canadian-American studies. The conference is hosted biannually by the University of Maine History Department, and organized by the History Graduate Student Association (HGSA). The next conference will be at the University of Mainet. on October 12th-14th,2012. Out conference theme for this year is "On the Margins," and will include such areas as gender history, public history, and North American borderlands history. We have formed an organizing committee to fund-raise and coordinate this important Canadian-American event. Dr. Gail Campbell, Professor of History at the University of New Brunswick, has graciously agreed to deliver our keynote address on October 12. Our conference will be a showcase event for the Canadian-American Center, the History Department, and the University of Maine. This student-run event will attract a wide range of graduate students and faculty from around the university, as well as researchers and scholars from around the United States and Canada.In addition, we have arranged a private Directors Tour" of the Page Farm and Home Museum on campus for the Saturday afternoon of the conference to highlight this excellent resource. As part of our strategy to attract more participants, we have voted to institute a prize for best conference paper.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.292 | 0.078 |
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".