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Record W7052950405

Southeastern Spitsbergen landscape seascape and biodiversity dynamics

2017· other· pl· W7052950405 on OpenAlexaboutno aff

Bibliographic record

VenueHomo Politicus (Academy of Humanities and Economics in Lodz) · 2017
Typeother
Languagepl
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsSeascapeBiodiversityBiodiversity conservationWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Wideo przestawia aktualny stan środowiska przyrodniczego i krajobrazu na Svalbardzie, w 30 kilometrowej części południowo-wschodniego wybrzeża Spitsbergenu nad Morzem Barentsa z przesmykiem lodowym między Sørkapplandem (południowym półwyspem) i resztą Spitsbergenu. To wybrzeże jest znacznie mniej rozpoznane niż zachodnie wybrzeże nad Morzem Grenlandzkim z powodu trudnej dostępności. W 2005 r. wyprawa Uniwersytetu Jagiellońskiego dokonała jego szczegółowego rekonesansu a w 2016 wróciliśmy tam aby powtórzyć badania i pokazać wielkie zmiany spowodowane recesją lodowców pod wpływem bieżącego ocieplenia klimatu. Aktualny stan południowowschodniego wybrzeża jest diametralnie inny niż ten pokazywany na niedawno wydawanych mapach. Projekt korzysta ze wsparcia Fundacji Księcia Monako Alberta II www.fpa2.com. Wideo zostało wyprodukowane przy wsparciu Fundacji Księcia Monako Alberta II. Za przedstawione treści pełną odpowiedzialność ponosi Uniwersytet Jagielloński w Krakowie i nie mogą być one przypisywane Prince Albert II of Monaco Foundation.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.239
Teacher spread0.213 · 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
Published2017
Admission routes1
Has abstractyes

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