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Record W4399189093 · doi:10.5539/jgg.v16n1p31

The Physical Geography of Eastern Taiwan as a Baseline for Tourism and Earthquake Hazards

2024· article· en· W4399189093 on OpenAlexvenueno aff
Rebecca Reinbold, Martin Mitchell

Bibliographic record

VenueJournal of Geography and Geology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsnot available
Fundersnot available
KeywordsLandformBaseline (sea)Mountain range (options)TectonicsShoreGeographyTourismMonsoonPhysical geographyTemperate climateGeologyRange (aeronautics)OceanographySeismologyArchaeologyEcologyCartography

Abstract

fetched live from OpenAlex

The eastern region of Taiwan is underpinned by a complex tectonic setting that forms the basis for numerous landforms, such as the Coast Range, Longitudinal Valley and Central Range, along with a rocky shoreline punctuated by a series of scenic beaches. In many ways, this tectonic setting resembles that of the west coast of North America. Taiwan’s climate ranges from tropical monsoon (Am) with periodic typhoons to temperate and even subalpine climates based on dramatic changes in altitude caused by the tectonic setting. This situation produces a host of different ecological zones based on vertical zonation. The physical setting, along with recent infrastructure improvements, forms a baseline for tourism. Moreover, comprehending the region’s structural geology is crucial for understanding the region’s risk of severe earthquakes, as exemplified by the recent 7.4 magnitude earthquake on April 2, 2024, near the east coast city of Hualien. Our methodology centers on a review of pertinent literature and field reconnaissance conducted in 2014, 2016, 2019, 2020 and 2024.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.223

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.249
Teacher spread0.241 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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