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Record W1981568457 · doi:10.1086/339236

Studies into Abstract Properties of Individuals. VII. Emergence in <i>Hesperostipa comata</i> and Three Species of <i>Achnatherum</i> (Poaceae)

2002· article· en· W1981568457 on OpenAlexaff
Jack Maze, Kathleen Robson, Satindranath Banerjee

Bibliographic record

VenueInternational Journal of Plant Sciences · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicEcosystem dynamics and resilience
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyBotanyBovidaeEcology

Abstract

fetched live from OpenAlex

Emergence is examined in populations of Hesperostipa comata, and this grass is compared to individuals, populations, and three additional species of Achnatherum. The Achnatherum species are closely related and more distantly related to H. comata. Emergent properties are assessed through measurements of grass spikelets and the divergence from vectors of isometry as expressed in individuals, populations, species, and species groups. Our results demonstrate that the strongest degrees of emergence are expressed at the levels of individuals, species, and groups of species, with the strongest of all being seen when H. comata is compared with the trio of Achnatherum species; populations express the least emergence. This reflects evolutionary differentiation as expressed through the ontogenetic events that led to the formation of spikelets. It can be related to concepts of local and global time; the flow of energy, matter, and information; and the driving force of the expression of novelty (entropy) in organized and historically constrained biological systems.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.252
Teacher spread0.200 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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