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Record W2535540361 · doi:10.1017/cbo9781107110632.015

Coastal Dunes and Vegetation Dynamics

2016· book-chapter· en· W2535540361 on OpenAlexaff
Edward A. Johnson, Y. E. Martin

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsUniversity of Calgary
FundersDirectorate for Biological Sciences
KeywordsSand dune stabilizationDeserts and xeric shrublandsEcologyVegetation (pathology)Ecological successionGeographyGeologyEarth scienceAdaptation (eye)BiologyHabitat

Abstract

fetched live from OpenAlex

The dynamic nature of sand dunes over relatively short spatial and temporal scales makes them an ideal phenomenon from which to obtain a better understanding of the interactions between the geosciences and biological sciences. Most early studies of sand dunes focused on classification of dune forms, plant species composition on various dune types, plant succession, and the morphological adaptation of plants to sand burial, salt spray, and xeric conditions. In this chapter, the interaction of ecology and geomorphology in the development of coastal sand dunes will be discussed, from the origin of ecology in the 1800s through to the present. Underlying this history is a struggle by both disciplines to move from a mainly descriptive approach toward an understanding of how sand dunes and plants influence each other. The difficulty has always been how to couple the physical processes of sand transport with the influence of plants and, in turn, how to connect plants with different life histories to sand transport. This undertaking is still in its infancy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.973
Threshold uncertainty score0.792

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)0.0000.000

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 head0.009
GPT teacher head0.162
Teacher spread0.153 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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