Bibliographic record
Abstract
Book: SIKU: Knowing Our Ice. ca.501pp Also included: book draft with edits by Steve Jacobson, and correspondence related to the publication of the book. Citation: SIKU : International Polar Year Project #166 (an overview) / Igor Krupnik, Claudio Aporta, and Gita J. Laidler -- Weather variability and changing sea ice use in Qeqertaq, West Greenland, 1987-2008 / Pierre Taverniers -- Mapping Inuit sea ice knowledge, use, and change in Nunavut, Canada (Cape Dorset, Igloolik, Pangnirtung) / Gita J. Laidler ... [et al.] -- "It's cold, but not cold enough" : observing ice and climate change in Gambell, Alaska, in IPY 2007-2008 and beyond / Igor Krupnik, Leonard Apangalook Sr., and Paul Apangalook -- Sea ice distribution and ice use by indigenous walrus hunters on St. Lawrence Island, Alaska / Marie-Luise Kapsch, Hajo Eicken, and Martin Robards -- Sila-Inuk : study of the impacts of climate change in Greenland / Lene Kielsen Holm -- The sea, the land, the coast, and the winds : understanding Inuit sea ice use in context / Claudio Aporta -- The Igliniit Project : combining Inuit knowledge and geomatics engineering to develop a new observation tool for hunters / Shari Gearheard, Gary Aipellee, and Kyle O'Keefe -- Assessing the shorefast ice : Iñupiat whaling trails off Barrow, Alaska / Matthew L. Druckenmiller ... [et al.] -- Creating an online cybercartographic atlas of Inuit sea ice knowledge and use / Peter L. Pulsifer ... [et al.] -- The power of multiple perspectives : behind the scenes of the Siku-Inuit-Hila Project / Henry P. Huntington, Shari Gearheard, and Lene Kielsen Holm -- Knowings about Sigu : Kigiqtaamiut hunting as an experiential pedagogy / Josh Wisniewski -- The ice is always changing : Yup'ik understandings of sea ice, past and present / Ann Fienup-Riordan and Alice Rearden -- Qanuq ilitaavut : "how we learned what we know" (Wales Inupiaq sea ice dictionary) / Igor Krupnik and Winton (Utuktaaq) Weyapuk Jr. -- Indigenous knowledge and sea ice science : what can we learn from indigenous ice users? / Hajo Eicken -- Franz Boas and Inuktitut terminology for ice and snow : from the emergence of the field to the "great Eskimo vocabulary hoax" / Igor Krupnik and Ludger Müller-Wille -- Inuit sea ice terminology in Nunavut and Nunatsiavut / Alana Johns -- Two Greenlandic sea ice lists and some considerations regarding Inuit sea ice terms / Nicole Tersis and Pierre Taverniers -- Partnerships in policy : what lessons can we learn from IPY SIKU? / Anne Henshaw -- Epilogue : the humanism of sea ice / Michael T. Bravo. Restrictions: Draft restricted
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 | 0.000 |
| 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".