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Record W4237588683 · doi:10.22215/etd/2014-10551

Assessing the Potential of Maximum Tree-ring Density in Developing Divergence-free White Spruce Chronologies, Northwest Territories, Canada

2014· dissertation· en· W4237588683 on OpenAlexaffabout
Sarah Quann

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsCarleton University
FundersChina University of Political Science and Law
KeywordsDendrochronologyMaximum densityProxy (statistics)PrecipitationPhysical geographyGeographyClimatologyDivergence (linguistics)Growing seasonGeologyArchaeologyEcologyMeteorologyMathematicsPhysicsStatisticsBiology

Abstract

fetched live from OpenAlex

Tree cores were collected from white spruce at two study locations near Inuvik, Northwest Territories to evaluate the climate sensitivity of ring-width and maximum density indices.Over 200 trees were sampled to develop four ring-width chronologies dating back as far as 1025 CE and two density chronologies spanning 1321 to 2012 CE and 1383 to 2012 CE, respectively.The chronologies originating from the Campbell Dolomite Uplands are responsive to local precipitation and temperature.The chronologies from Husky Lakes are sensitive to growing season temperatures.The ringwidth chronologies at both study locations are weakly and inconsistently correlated with growing season conditions between 1910 and 2009.The density chronologies are consistently correlated to temperature variables at Husky Lakes, and show no evidence of the divergence issue noted in previous ring width studies from this region.These results support the use of maximum density as a temperature proxy throughout the 21 st century.very productive Skype chats.You opened the door to so many opportunities in field work and travel and I thank you.I also want to thank Dr.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.234
Teacher spread0.220 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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