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Record W2626996986

Natural History and the Deep Roots of Resource Management

2005· article· en· W2626996986 on OpenAlexaboutno aff
Thomas L. Fleischner

Bibliographic record

VenueUNM’s Digital Repository (University of New Mexico) · 2005
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyOceanographyArctic ice packSea iceArcticWaterfowlEcology
DOInot available

Abstract

fetched live from OpenAlex

I stand shivering at the edge of a block of ice roughly the size of Connecticut.The wind blows the coyote fur ruff on my parka hood; I stamp my feet to encourage circulation to my toes.Behind me a vast white plain stretches toward the unseen Brooks Range, while in front the cobalt blue water of the Arctic Ocean shimmers in the golden midnight light.Late May, the sun will not set again until mid-August.Instead, it rolls along the horizon each night, west to east, before arcing back into the sky.I'm perched atop a jumbled mass of icy blocks rumpled up a couple weeks ago by the slow, grinding collision of floating pack ice with the more stable shorefast ice.For a couple days the sea had simply disappeared -replaced by an immense interlocking puzzle of ice.Sure enough, though, the wind shifted direction and pushed the pack ice back out toward the northern horizon.I stand at the edge of this ice cliff, scanning the water intently.This arctic springtime, on the sea ice near Point Barrow, Alaska, yields no flowers.Rather, the movement of animals marks the season of renewal.Seabirds and waterfowl stream past in flocks of tens and hundreds of thousands, all heading toward the bounty of the Mackenzie River delta.My quarry, too, heads in that direction, and for the same purpose-to transform the summer profusion of nutrients and invertebrates into offspring.Bowhead whales have traveled the ragged ice edge along the northern Alaskan coast since before human memory.But in the past few years, scientists and conservationists have become alarmed at the scarcity of bowheads.Local Inuit want to celebrate the spring return of the whales by hunting a few, as they always have.The American government, the world leader in the reform of international whaling laws, finds itself in an awkward political position-caught in the crossfire of two laudable intentions, honoring the traditional subsistence habits of indigenous peoples and saving the most

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.020
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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.

Opus teacher head0.014
GPT teacher head0.237
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations23
Published2005
Admission routes1
Has abstractyes

Explore more

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