Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Dalhousie University (DAL) Apoqnmatulti'k - Bras D'Or Lake, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals. If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=BDLSPG). Abstract:Apoqnmatulti'k (Mi'kmaw for we help each other) is a multi-year collaborative research initiative that looks at the health and resilience of fish and other aquatic species in Mi'kma'ki. Guided by Etuaptmumk, or Two-Eyed Seeing, Apoqnmatulti'k pairs Mi'kmaw and local ways of knowing with western scientific methods to co-design and execute tracking programs to document the movements and habitat use of valued species in Pitu'pa'q (Bras d'Or Lake). Project partners include Mi'kmaw rights holders and technical advisors, local knowledge holders, commercial fishers, academia, and government. The project promotes the access, transfer and ownership of knowledge to these communities in support of their decision-making processes. The Bras d'Or Lake is one of two study sites covered under the project. The other is situated in Pekwitapa'qek (Bay of Fundy).
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.184 |
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".