The Pangnirtung Inuit and the Greenland shark
Bibliographic record
Abstract
Inuit are known to be holders of detailed ecological knowledge about their environment and animal resources.Ffowever, this is not the case for the Greenland shark (Somniosus microcephalus), an animal not considered to be culturally or economically important to the Inuit community of Pangnirtung (Baffin Island, Canadian Eastern Arctic).But there is some knowledge of it.This thesis is about the Pangnirtung Inuit knowledge of the Greenland shark, theú perceptions, and the available knowledge and the processes by which this knowledge is produced.This work draws upon my.field experience over two seasons in Pangnirtung (July to September 2007 and April 2008).I developed this research through a micro-ethnographic collaborative approach.That is to say, this thesis represents knowledge about the Greenland shark in the context of the Pangnirtung Inuit worldview.As fieldwork tools, I employed participant observatioru joining hunting and fishing trips as well as being part of community activities.I also carried out L6 semi-structured interviews, 15 of them Inuktitut- Engtish interpreted.At the end of the first field season, I conducted a focus group with the hunters who demonstrated interest on the research topic.During the second season, I reviewed the main findings with two English-speaking hunters.The results from this research are framed into two main sections: the first one (Chapter 4) visits the existing relationships between Pangnirtung Inuit and Greenland shark.This section provides a holistic framework to understand the context where knowledge about sharks is produced.The Greenland shark is a "thief" that steals and destroys caught animals, a nuisance to the commercial fishery on Greenland halibut (Reinhardtius híppoglossoides).Rarely seery and neither hunted nor used, the shark is absent from the Pangnirtung Inuit oral tradition.Sharks do not fit into the Pangnirtung collective mental model of what edible food should look like.They are rubbish-eaters, and their meat is white and v Abstract keeps twitching even when dead and cut into pieces.The Greenland shark is neither an object of symbolic thought, nor an object of h-unter's everyday discussion.The second results section (Chapter 5) explores the Pangnirtung Inuit knowledge about the Greenland shark, as well as the processes that inform the emergence of this knowledge.This section is divided into two main bodies of results.The first one reviews what Pangnirtung Inuit consider when looking at sharks, and the second one presents the inference and abstractions from what is observed.That sharks have a unique skeletal structure, the fact that shark's flesh keeps twitching long after death, the particular way sharks bite, stomach contents, and peaks of abundance were topics that the Pangnirtung Inuit considered as part of their observations, and are known to many hunters.On the other hand, explanations about shark abundance and appearance, habitat, and feeding behaviour were themes that allowed discussiory but did not produce a consensus.The Pangnirtung Inuit do not consider themselves as shark experts.They are not even aware of all the knowledge they do in fact possess about this species because it is not a regular subject of discussion.However, their interest in the present research established a platform to involve the Inuit to talk abou! and make sense of, their observations, and to integrate this knowledge of the shark and its habitat.This study is an example of traditional knowledge as an ever- evolving and adaptive entity.By dealing with a topic not commonly discussed, the research turned into a creative process by which scattered pieces of information were gathered, organised, and integrated.The interaction between Inuit and outside scientists allowed both parties to learn from each other, constructing knowledge of a species that does not draw outstanding interest among the Pangnirtung Inuit.V1 It would have been impossible to work on this thesis without the help of many people and institutions.I am grateful for the support, patience, teachings, and true friendship I experienced over the course of the last two years.First and foremos!I am grateful to the people in Pangnirtung.They contributed not only with interviews and focus groups, but also opened the doors of their world for me by sharing their company and food (including all that it means).They taught me the basic skills to enjoy the ever-barren Arctic.Noah and Alukie Metuq were my home-stay family over the course of my two field seasons.]aco Ishulutaq was my instructor as we hunted and fished along the Cumberland Sound shoreline.I am indebted to Andrew John Dialla; further than being an interpreter, he was a friend who introduced me to the local hunters and elders and encouraged me to look for strategies to make the interviewing process smoother.His wisdom deeply enlightened the outcomes of this research.I want to thank my comrnittee members: Fikret Berkes, my advisor, Íor encouraging me to work independently and providing guidance and support for the development of my ideas.Chris Trott, for being a beacon from the beginning of the fieldwork to the hardest points of the writing process.I received insightful lessons about Arctic ecology from a structuralist anthropologist.Aaron Fisk, for being open to discuss the voices of the Inuit and to include them into his "hard core" biology research
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".