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Record W4389488555 · doi:10.18061/bssb.v2i1.9358

The Species as a Reproductive Community Emerging From the Past

2023· article· en· W4389488555 on OpenAlexaff
Wayne P. Maddison, Jeannette Whitton

Bibliographic record

VenueBulletin of the Society of Systematic Biologists · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyReproductive successEcologyDiversification (marketing strategy)Evolutionary biologyReproductive isolationBiodiversityPhylogenetic treeSociologyDemographyPopulationGeneticsGene

Abstract

fetched live from OpenAlex

Biologists and philosophers of science have been unable to fully resolve the decades-long controversy as to what kind of unit of living biodiversity should receive the valued label “species”: reproductive communities (among sexual organisms), genealogical groups, or clusters of organisms that share traits. Among these choices, which represent a spectrum from process to history to observable outcome (respectively), the latter (more operationalist) concepts are not viable. Species of sexual organisms must embody or imply cohesive and integrating processes such as interbreeding and shared ecological pressures if they are to have sufficient power to bear the burden we give them: to predict or explain traits across the genome and among organisms. This commitment to cohesive process is needed whether biologists use species as taxonomic containers to synthesize data, as minimal phylogenetic units, or as actors in evolutionary diversification. These varied uses can be satisfied via a concept of reproductive community, but not the strict Biological Species Concept (BSC). Its two drawbacks are a focus on the contemporary and a restriction to intrinsic factors. Current reproductive compatibility may predict future matings, but it does not explain well the traits and genes that living organisms already have. The organisms alive today were shaped by isolating factors of the past, not those of the present, to whatever extent those differ. The most broadly-useful species concept must therefore see species retrospectively, as reproductive communities of the past. As well, the BSC’s exclusion of extrinsic factors renders each of its units incomplete in explanation and synthesis. Reproductive communities in nature were isolated not just by intrinsic (genetic) differences, but also by purely extrinsic (e.g., geographic) factors. Such reproductive communities were and are real, natural entities whose integrated and self-reinforcing cohesive processes constrained genealogical descent and aligned the distribution of many traits. This Retrospective Reproductive Community Concept (RRCC), formalized mathematically in multispecies coalescent models, justifies the traditional practice of taxonomists using morphological data to seek the echoes of past reproductive cohesion. However, which reproductive communities naturally deserve to be ranked as species, and which as demes or populations, is a vexing question. There is no natural, discrete and broadly informative species rank that applies universally, or perhaps even usually. To whatever extent species rank is justified, it is as justified for asexual organisms as for sexuals. The presence or absence of sex is just one example of the variability biologists confront. Because cohesive processes vary among clades, a useful and broadly-applicable species concept cannot specify detailed cohesive mechanisms. Nor can it perfectly align the named species of taxonomy with units of evolution, because the latter are not structured to match taxonomy’s partition of boxes. Taxonomic species should approximate, but can only approximate, evolutionary units. Settling on retrospection, letting go of a natural meaning for species rank, and accepting taxonomy as approximation allow biology to turn to the far more daunting task: listening to the natural world to understand the many interacting processes that built distinction and identity, that shaped the reproductive communities emerging out of the past into the present day.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.752
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.237
Teacher spread0.147 · 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 teacher head, 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

Citations23
Published2023
Admission routes1
Has abstractyes

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