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- Type:
- Article
- Description/Abstract:
- 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.
- Creator/Author:
- Carr-Trebelhorn, Julia
- Submitter:
- Julia Carr-Trebelhorn
- Date Uploaded:
- 03/09/2026
- Date Modified:
- 03/09/2026
- Date Created:
- 2026-03-09
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Article
- Description/Abstract:
- Taking on the task of ordering the sciences related to pottery and clay-based objects, natural historian and porcelainier Alexandre Brongniart sought a new way of describing the ancient practice. Early in his forty-seven-year career as director of the Sèvres Porcelain Manufactory, Brongniart developed a research center for the advanced study of pottery and porcelain making. Brongniart recognized that an inclusive and distinct term for the field was necessary, but it had to be introduced carefully, so that it was welcomed rather than rejected as presumptuous. Through close reading of Brongniart’s writings, as well as contemporary periodicals and the texts of other authors, the development of the word “ceramic” – originally introduced by Brongniart and his associates in French as “la céramique” – can be traced closely. I show that this was a deliberate, methodical, and years-long effort to create a durable, comprehensive term.
- Creator/Author:
- Carr-Trebelhorn, Julia
- Submitter:
- Julia Carr-Trebelhorn
- Date Uploaded:
- 03/09/2026
- Date Modified:
- 03/09/2026
- Date Created:
- 2026-03-09
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Document
- Description/Abstract:
- The Biographical Dictionary of Cincinnati Architects was complied by architectural historian Walter E. Langsam
- Creator/Author:
- Meyer, Elizabeth A. and Langsam, Walter E.
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 10/16/2024
- Date Modified:
- 03/25/2025
- License:
- Public Domain Mark 1.0
-
- Type:
- Article
- Description/Abstract:
- Article from Modernnati.com about Benjmain Dombar, Cincinnati architect.
- Creator/Author:
- Meyer, Elizabeth A.
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 11/21/2023
- Date Modified:
- 11/21/2023
- Date Created:
- 20th century
- License:
- All rights reserved
-
- Type:
- Document
- Description/Abstract:
- The Coalition for Anti-Racist Action publishes a newsletter several times a year using the SWAY platform. PDF versions of the sway are provided here in this archive. The newsletter serves to update the CARA community on events, actions and information relevant to the work of the coalition. Editors are: 2023 - Susanne Buzek and Amy Koshoffer
- Creator/Author:
- Koshoffer, Amy
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 11/01/2023
- Date Modified:
- 05/08/2024
- Date Created:
- 2023-11-01
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Document
- Description/Abstract:
- This is the Welcome Brochure for Camp Croft, South Carolina. When George Seal entered the Army in 1941 they sent him this Brochure.
- Creator/Author:
- US Army and Scherz, Thomas
- Submitter:
- Thomas Scherz
- Date Uploaded:
- 02/09/2023
- Date Modified:
- 03/18/2024
- Date Created:
- 1941
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- 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
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- 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
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- 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
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- 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
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
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