MétaCan
Menu
Back to cohort
Record W2620041004 · doi:10.17520/biods.2017034

Advances in species coexistence theory

2017· article· en· W2620041004 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

VenueBiodiversity Science · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEvolutionary biologyBiology

Abstract

fetched live from OpenAlex

How species coexist locally is a fundamental question in community ecology. Classical coexistence theory underscores the importance of niche differentiation between species and focuses on specific coexistence mechanisms. Studies on these specific coexistence mechanisms have profoundly contributed to understanding species coexistence at the local scale and inspired ecologists to create a more general contemporary coexistence theory. Under the contemporary coexistence theory, species differences are categorized into two groups: niche differences and average fitness differences. Niche differences serve as stabilizing mechanisms that promote species coexistence, whereas average fitness differences are related to equalizing mechanisms that drive competitive exclusion. In this paper we provide a detailed review of contemporary coexistence theory, including its definition and theoretical models, empirical tests of these models and their applications to biodiversity studies. Coexistence theory has applications in a number of other areas including biodiversity conservation and management in a changing world beyond the basic concept of how communities are structured. We show how contemporary coexistence theory has advanced the niche-based classic coexistence theory, helping us to better understand the underlying mechanisms of community assembly and biodiversity maintenance.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.265
Teacher spread0.225 · 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