Linking Inuit and scientific knowledge in coastal marine research: Advancing our understanding of Greenland cod (Gadus ogac) near Ulukhaktok, Northwest Territories under a changing climate
Bibliographic record
Abstract
The Arctic is warming at an unprecedented rate, with implications for the marine ecosystem and species that are important for the tradition, culture, and livelihoods of Indigenous people. Inuit in the western Canadian Arctic have identified a need to better understand the impacts of a changing climate on coastal marine species important for subsistence. Greenland cod, ogac, (Gadus ogac) are found in the coastal marine ecosystem and are reportedly experiencing changes in population dynamics in recent years. In this thesis, I present findings from Inuit and scientific knowledge of Greenland cod as a means of linking knowledge systems to advance our understanding of this species and discuss the implications for Inuit livelihoods under a changing environment. The objectives of this research were to: (1) investigate the adaptation potential of Greenland cod, (2) document Inuit knowledge of this species, and (3) examine the cumulative findings of Greenland cod research and discuss the potential impacts of shifting marine resources on livelihoods in the Inuvialuit Settlement Region. I measured individual specialization-generalization of morphological and habitat-trophic traits from Greenland cod collected along the marine coast near Ulukhaktok, Northwest Territories, NT, in the western Canadian Arctic. I then used this information to elicit discussion on their morphology, feeding, and movement behaviour with key knowledge holders in Ulukhaktok. Scientific findings from this project suggest that Greenland cod are overall generalists but display a range in feeding behaviours for two identified morphotypes. These findings highlight the importance of maintaining trait variation to conserve biodiversity while promoting population resilience in wild fish populations. Inuit knowledge holders were able to build a rationale for some of the phenomena observed and identify early signs of ecosystem change. Linking Inuit and scientific knowledge was a two-way process in which the knowledge systems built off one another to inform the next steps in the research process and interpret the findings more holistically. The cumulative findings advance our understanding of the baseline ecology of this species and intend to inform the design of future research using Inuit and scientific knowledge to generate enriched findings. The knowledge gained and lessons learned from this study can serve as a tool for establishing additional conservation efforts that may be required in the future to ensure a sustained Arctic marine ecosystem can continue to support Inuit subsistence and livelihoods.,
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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".