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Record W1851957629 · doi:10.1017/cbo9781107784734.003

Ageing: what is it and why does it happen?

2009· book-chapter· en· W1851957629 on OpenAlexaff
F Martin, Jane E. Preston

Bibliographic record

VenueCambridge University Press eBooks · 2009
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsSomaAgeingReproductive valuePopulationBiologyDemographyEvolutionary biologyGerontologyOffspringNeuroscienceMedicinePregnancySociologyGenetics

Abstract

fetched live from OpenAlex

Demographers encapsulate the rate of population ageing by estimating the years taken for a doubling from 7% to 14% of the number of people aged 65 years or over as a proportion of the total population. The stages of the lifespan of mammals can be distinguished as: fertilisation and birth, infancy to sexual maturity and adult reproductive life through to death, which may include a distinct post-reproductive phase. The molecular changes that are commonly regarded as ageing do not begin at a defined stage but seem to develop gradually. At the molecular level, it is clear that damage to all cellular components accumulates with increasing age. According to the disposable soma theory, evolution has favoured strategies that devote energy and resources to enable the soma to attain reproductive fitness with the germ line safe from damage. Non-adaptive strategies have been suggested based on the disposable soma theory.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0040.006
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.004

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 head0.015
GPT teacher head0.203
Teacher spread0.188 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooks→Same topicGenetics, Aging, and Longevity in Model Organisms→French-language works237,207→