Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Norwegian Research Centre (NORCE) Svalbard Tracking Project, 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=V2LSVAL).Abstract:The Arctic naturally has few endemic fish species but this is changing rapidly due to climate change. The immigration of new species in Svalbard is ongoing and yet there is limited capacity to track the consequences of this change, which is affecting the conservation of endemic Arctic fish while creating new opportunities for commercial and recreational fisheries. We intend to establish an acoustic telemetry infrastructure in Svalbard for tracking climate and environmental changes in the fjords and coastal zones, this project represents a pilot that will 1) advance methods and support initial deployments and 2) undertake tracking of Atlantic cod and Atlantic salmon in Isfjorden to establish first knowledge about the movement of cod and salmon in the fjord. The receivers will be connected to adjacent projects with open data sharing to SIOS and Ocean Tracking Network for data archiving and sharing. Collaboration between NORCE and UNIS will support education and capacity building for this technology in the Arctic and development of highly qualified personnel (one MSc and one early career researcher at NORCE). The project will be used to leverage additional funding for longer-term and larger-scale tracking research from the Norwegian Research Council, Biodiversa, Horizon Europe, and NordForsk to achieve a broader understanding of ecosystem and environmental change in the Arctic. Ultimately, the results are envisioned to provide the Governor of Svalbard with data and tools necessary to manage recreational and commercial fisheries in Svalbard and support marine spatial planning efforts (including marine protected areas)
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.116 | 0.135 |
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".