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  • After Brongniart: Defining the Word “Ceramic” and the Persistence of “Burnt Stuff”

    Article thumbnail: After Brongniart: Defining the Word “Ceramic” and the Persistence of “Burnt Stuff”
    Type:
    Article
    Descripción/Resumen:
    As I have previously shown, Alexandre Brongniart established a coherent science of ceramics. By the mid-nineteenth century, Brongniart had popularised the term "la céramique" as a widely-applicable name for the field of pottery and porcelain making, and other related arts. In the Twentieth Century, ceramic manufacturing became increasingly technical. The inclusive field of artisans and industrialists that Brongniart had once envisioned was fracturing. Voices called for the separation of pottery making from experimental, industrial ceramics and the meaning of the term “ceramics” was hotly debated. Numerous etymologies were traced, but, as the predominant language of science transferred from French to English, none of the twentieth-century authors recognized Brongniart’s key role in the invention of the term. Critically, this language debate coincided with and reflected the global politics, nationalism, and warfare of the first half of the Twentieth Century.
    Creador/Autor:
    Carr-Trebelhorn, Julia
    Peticionario:
    Julia Carr-Trebelhorn
    Fecha modificada:
    03/09/2026
    Fecha modificada:
    03/09/2026
    Fecha de creacion:
    2026-03-09
    Licencia:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Coherence_Evaluations - nws_environmental.csv

    Dataset thumbnail: Coherence_Evaluations - nws_environmental.csv
    Type:
    Dataset
    Descripción/Resumen:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    11/04/2022
    Fecha modificada:
    11/04/2022
    Fecha de creacion:
    2022
    Licencia:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nws_pollution.csv

    Dataset thumbnail: Coherence_Evaluations - nws_pollution.csv
    Type:
    Dataset
    Descripción/Resumen:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    11/03/2022
    Fecha modificada:
    11/17/2022
    Fecha de creacion:
    2022
    Licencia:
    Open Data Commons Attribution License (ODC-By)