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Record W4253500606 · doi:10.22498/pages.10.1.2

Dendrochronology

2002· article· en· W4253500606 on OpenAlexaboutno aff
Keith Alverson

Bibliographic record

VenuePAGES news · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsnot available
Fundersnot available
KeywordsDendrochronologyGeographyArchaeology

Abstract

fetched live from OpenAlex

PAGES does many things to try to knit the international, interdisciplinary paleoenvironmental community together.One of these activities is hosting visiting scientists in the International Project Office as a way to proactively enhance the interaction between the IPO and the many researchers involved in PAGES projects.Recent and planned visitors have included sabbatical visits from senior scientists, postdocs, and graduate students.They have come from home institutions in Canada, China, Ethiopia, Germany, India, Mexico, Morocco, Russia, South Africa, and the USA.PAGES has benefited enormously from these visitors' substantial efforts in hosting workshops, guest editing topical issues of this newsletter, editing books and special issues arising from PAGES' activities, developing new initiatives, and enhancing PAGES' visibility in their home countries.Senior visitors have benefited from an opportunity to get away from their home institution for a period to focus on a PAGES project or develop new interactions and lines of research.Younger scientists benefit from taking on interesting and challenging tasks that would not normally arise in their research and making many new contacts within the international PAGES network.We are now working hard in many different ways to improve our ability to host visiting scientists in the future.I strongly encourage any scientists interested in taking the opportunity to spend some time at the PAGES International Project Office in Bern, Switzerland to contact me.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.010

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 head0.038
GPT teacher head0.229
Teacher spread0.191 · 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; both teacher heads agree on what is shown here.

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
Published2002
Admission routes1
Has abstractyes

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