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Record W7028868680

 The Holocene History of Fish and Fisheries of the Upper Klamath Basin, Oregon

2015· article· en· W7028868680 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2015
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
FundersCalifornia Department of Fish and WildlifeU.S. Geological SurveyNational Oceanic and Atmospheric AdministrationU.S. Fish and Wildlife ServiceSimon Fraser UniversityUniversity of OregonOregon State UniversityPortland State University
KeywordsFishingFish <Actinopterygii>HoloceneHistorical ecologyRadiocarbon datingTaxon
DOInot available

Abstract

fetched live from OpenAlex

Historical and ethnographic records and ongoing cultural traditions highlight the importance of fishing to native peoples of the Upper Klamath Basin. Previous researchers have discussed the importance of fish to past people in the basin, but a systematic review of taxa and their abundance through time had not been closely considered until our study. We analyzed over 15,000 fish remains from six sites located above Upper Klamath Lake and obtained 11 new radiocarbon dates, which—in conjunction with previous records—suggest the fishery extends to ~5,300 cal B.P. Three fish families are represented in most time periods—suckers (Catostomidae), minnows (Cyprinidae), and salmon/trout (Salmonidae)—but suckers dominate. Their prominence, particularly large-bodied forms, is consistent with foraging models that rank this fish highly. Distinctive patterns in body-part representation are argued to reflect butchery linked to storage, rather than postdepositional destruction. The Holocene fish records suggest long-term stability in fishing practices.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.188
Teacher spread0.169 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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