University of Maine Foundation Annual Report
Bibliographic record
Abstract
Although 2020 has unfolded in ways none of us anticipated, we have been looking forward to June 30, 2020 for some time now. The date marks the completion of the University of Maine’s Vision for Tomorrow comprehensive campaign. With over $208 million in funds raised, we are happy to report that the $200 million goal was exceeded. This investment in UMaine comes at a time when it is needed most. Transforming and adapting for a future which is still unfolding is a task which requires resources. The full impact of this campaign will be revealed for years to come. Every single one of the 104,763 gifts is threaded back to raising aspirations and creating opportunities for UMaine students. One way is through the students who are able to continue their studies as a result of new scholarships. Another is through students who take their UMaine education along with the lessons in fortitude acquired during this pandemic to make the world a better place. The list goes on. In 2022, the Ferland Engineering Education and Design Center will open its doors to welcome students with active learning classrooms and laboratories to prepare them for cutting-edge careers in engineering. More world-class works of art will be accessible from the new galleries at the Zillman Art Museum. The next Maine-rooted astronaut may be inspired by a show at the Versant Power Astronomy Center. The sky is the limit!
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 | 0.001 |
| 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) | 0.001 | 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".