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Eco-development response to climate change and the isostatic uplift of southwestern Finland: Case study of the Nordsund area

2020· article· en· W3134691263 on OpenAlexaboutno aff
Guido J. M. Verstraeten, Willem W. Verstraeten

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsArchipelagoPeninsulaChemistryOceanographyGeologyBiologyEcology

Abstract

fetched live from OpenAlex

Remediation of climate change induced by anthropogenic emissions of greenhouse gasses and it precursors is the main focus today. However, less known is that the environment may also be subjected to relatively fast geological dynamical phenomena such as the isostatic uplift of Fennoscandia, parts of Canada and northwestern Russia. This uplift affects the archipelago along the coast of southwestern Finland and Sweden and causes the relocation of human activities. In this study we investigate the on-ground observed regression of the Gulf of Bothnia on the coasts of southwestern Finland and its implications on the country-side activities in the framework of the eco-development paradigm. We focus our study on the neighbourhood of the Nordsund peninsula (60°40’30”N, 21°37’14”E) between Keikvesi and Katavakarinselkä, representative for the whole Finnish archipelago with an average local isostatic uplift of 9 mm per year (5 mm in the South and 14 mm in the Merenkurkku area. The Nordsund peninsula contains a former bay of the Bothnia Sea, called Mustalahti, which is reduced to a lake since the direct way out of inner land precipitation to the open sea disappeared in the 1980s. We show that remotely sensed data on vegetation and surface wetness confirms this fast sea regression and the silting-up of the nearby lakes that drain precipitation to the Gulf. The changing of the Mustalahti over time and its vegetation is expressed in terms of Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Wetness Index (NDWI), derived from Landsat 7 data for May, 12 th 2000 and for Landsat 8 for April, 23 rd 2019 characterized by a 30 m x 30 m pixel resolution. We discuss this changing coastline in the framework of the Eco-Development paradigm which may rebalance nature, environment, humans and culture. This paradigm is a valid alternative against the past and present-day socio-economical dominant approach that contributed to the accelerated change of the Earth’s climate.

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 score0.098
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.037
GPT teacher head0.228
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; 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
Published2020
Admission routes1
Has abstractyes

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