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Record W4409313622 · doi:10.1080/00288306.2025.2479699

Rainfall‐triggered landslides from the January 2023 1‐in‐200 year storm at Maungakiekie/One Tree Hill, Auckland, New Zealand

2025· article· en· W4409313622 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNew Zealand Journal of Geology and Geophysics · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsLandslideStormGeologyClimatologySeismologyOceanography

Abstract

fetched live from OpenAlex

ABSTRACT We describe engineering geological characteristics and failure mechanisms of shallow soil landslides activated on Maungakiekie/One Tree Hill in central Auckland, New Zealand on 27 January 2023. The hill is a scoria cone in the young Auckland Volcanic Field (AVF), and formed ∼60 ka BP. Subsequently, much of the volcano was blanked by 3–5 m of fine volcanic ash, erupted from neighbouring Three Kings volcano ∼28.5 ka BP, on which residual soils have formed. These slopes were then terraced using cut‐and‐fill earthworks by pre‐European Māori until abandoned in 1822. The terraces remained largely intact until 27 January 2023 when the ‘Auckland Anniversary Storm’ (a > 1‐in‐200‐year event), crossed Auckland, triggering 19 shallow failures on the terraced slopes. Accordingly, we investigated the geotechnical characteristics of the volcanic soils associated with these landslides. An important destabilising factor is the presence of thin (∼20 mm) layers of weathered Three Kings ash exposed within the 1–2 m high headscarps. These dip unfavourably out of the slope, also acting as an aquiclude, leading to increased porewater pressure in overlying soils. The occurrence of landslides only on ‘filled' slopes supports emerging evidence that human disturbance may be a more important future landslide conditioning factor than 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.

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 score0.117
Threshold uncertainty score0.861

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 integrity0.0000.001
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 head0.006
GPT teacher head0.208
Teacher spread0.202 · 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