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Record W4233351239 · doi:10.22215/etd/2021-14358

Testing the Competition Hypothesis: How Niche Overlap Between Carnivoramorphans and Creodonts Changed From the Start to the End of the Eocene

2021· dissertation· en· W4233351239 on OpenAlexafffund
Brigid Christison

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCompetition (biology)NicheExtinction (optical mineralogy)PaleontologyDiversity (politics)GeographyGroup (periodic table)EcologyBiologySociologyAnthropology

Abstract

fetched live from OpenAlex

Carnivoramorphans and creodonts are two groups of ancestrally carnivorous mammals that both emerged in the Paleocene (66-56 Ma) of North America.During the Eocene (56-33.9Ma), carnivoramorphans radiated into some of the taxonomic groups we still see today, while creodont diversity declined until the group went extinct in North America during the Oligocene (33.9-23Ma) and worldwide during the Miocene (23-5.3Ma).In this thesis, I test the hypothesis that competition with carnivoramorphans may have led to the extinction of the creodonts in North America by examining changes in niche overlap between the two groups from the start to the end of the Eocene.My results do not support the competition hypothesis, but instead suggest that creodonts were hyperspecialized and un-equipped for the dramatically different environments of the late Eocene and early Oligocene.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.059
GPT teacher head0.228
Teacher spread0.169 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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