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Unveiling the evolutionary significance: Atavism’s transition from ancestral traits to a fundamental biological phenomenon

2024· article· en· W4392470276 on OpenAlexaff
Junjie Sun

Bibliographic record

VenueTheoretical and Natural Science · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhenomenonTransition (genetics)Adaptation (eye)EpistemologyBiologyPhilosophyGeneGeneticsNeuroscience

Abstract

fetched live from OpenAlex

This essay delves into the nuanced concept of atavism, tracing its evolution from the abrupt manifestation of ancestral traits in wild populations to a pivotal element in contemporary biology. Explored through recent studies such as the Atavism Theory of Cancer, Single-Cell Atavism of Cnidocytes, and Atavism in the Developmental Polarity of Chicken Limb, this research reveals atavism’s journey from speculative fiction to empirical reality. By scrutinizing cancer as a series of atavistic changes, experimental atavism at the single-cell level, and the atavism observed in avian limb development, the essay proposes that atavism offers fresh perspectives on evolution, adaptation, and the dynamic reuse of gene reservoirs. This study underscores atavism’s transition into a tangible and crucial component of ecological and developmental biology, providing insights that traverse disciplinary boundaries and deepen our comprehension of the natural world.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.025
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.286
Teacher spread0.279 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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