{
  "abstract": "We employ Computational Taxonomy (CT) to reanalyze the penguin data set penguins_lter by validating and addressing two biological issues: Sexual Size Dimorphism (SSD) and mate-selection criteria. Via Scientific Data Analysis (SDA) computing, CT constructs a Taxonomic Hierarchy by splitting Species first and then Sex, without involving Island, to achieve less complexity. This Taxonomic Hierarchy validates SSD as a branch comparison: (Species, Sex = Male)-vs-(Species, Sex = Female), upon which SDA explores all potential pieces of associative information from all covariate feature-sets, including interacting effects from order-2 to order-4, and then confirms them via their idiosyncratic reliability checks. The collective of confirmed information pieces are displayed on a heatmap platform to manifest underlying dynamics of SSD with explicit block-structured heterogeneity found within males and females. SSD dynamics is explained through mechanistic dependence pertaining to one chief factor consisting of up to 8 feature-sets: Body-Mass coupled by combinations of {Culmen-length,Culmen-depth, Flipper-length}, and two minor factors consisting of low-order combinations of {Culmen-length,Culmen-depth, Flipper-length}. Such Intra-Sex heterogeneity invalidates all Logistic regression modeling on SSD in the original paper. Further, we explore potential mate-selection criteria through the data-frame of Nest-ID within-species homogeneity.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.28201",
  "author_total": 3,
  "authors": [
    {
      "name": "Thomas B. Michelon"
    },
    {
      "name": "Avidane C. Caballero"
    },
    {
      "name": "Hsieh Fushing"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5bhex009ttb4t.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.28201",
  "fulltext_url": null,
  "id": "5bhex009ttb4t",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.28201",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "q-bio.QM"
    ],
    [
      "arxiv",
      "stat.CO"
    ],
    [
      "openalex",
      "1105|Animal Behavior and Reproduction"
    ]
  ],
  "openalex": "W7214220936",
  "pdf_url": "https://arxiv.org/pdf/2609.28201",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-23",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5bhex009ttb4t.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:24:01Z",
      "native_id": "2609.28201",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.28201"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.QM",
      "subfield": "bioinformatics"
    },
    {
      "field": "mathematics",
      "origin": "arxiv:stat.CO",
      "subfield": "statistics"
    }
  ],
  "title": "Penguin data reanalyzed via Computational Taxonomy",
  "title_text": "Penguin data reanalyzed via Computational Taxonomy",
  "type": "preprint",
  "updated_at": "2026-10-30T12:24:06Z",
  "url": "https://research.draconitic.com/paper/5bhex009ttb4t",
  "venue": "arXiv",
  "versions": []
}