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Add Beyond Text (2015) + open-access links; widen supported torch/scikit-learn
- Core Principles: add Abramson & Dohan 2015, "Beyond Text: Using Arrays to Represent and Analyze Ethnographic Data" (Sociological Methodology) with an open-access link, and add an open-access link for the 2018 computational ethnography paper. - Widen the supported/required ranges for the packages Colab provides so the environment check passes on current Colab: scikit-learn to <1.8 and torch to <3 (kept the notebook check and requirements.txt in sync).
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requirements.txt

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# Python packages with version requirements for CMAP Visualization Toolkit
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numpy>=1.24,<2.2
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pandas>=1.5,<2.3
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scikit-learn>=1.2,<1.5
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scikit-learn>=1.2,<1.8
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scipy
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matplotlib>=3.7,<4
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seaborn>=0.12,<1
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jupyter
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sentence-transformers>=2.2,<3.6
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transformers>=4.36,<5.1
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torch>=2.1,<2.9
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torch>=2.1,<3
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wordcloud>=1.9,<2
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tqdm>=4.65,<5
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joblib>=1.2,<2

visualization_toolkit_final.ipynb

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"## Core principles \n",
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"- Abramson, C. M., Prendergast, T., Li, Z., & Dohan, D. (2026). \"Qualitative Research in an Era of Artificial Intelligence: A Pragmatic Approach to Data Analysis, Workflow, and Computation.\" *Annual Review of Sociology, 52* (in press). https://doi.org/10.1146/annurev-soc-011824-104836\n",
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"\n",
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"- Abramson, C. M., Joslyn, J., Rendle, K. A., Garrett, S. B., & Dohan, D. (2018). The promises of computational ethnography: Improving transparency, replicability, and validity for realist approaches to ethnographic analysis. Ethnography, 19(2), 254-284.\n",
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"- Abramson, C. M., Joslyn, J., Rendle, K. A., Garrett, S. B., & Dohan, D. (2018). The promises of computational ethnography: Improving transparency, replicability, and validity for realist approaches to ethnographic analysis. Ethnography, 19(2), 254-284. [Open access (ResearchGate)](https://www.researchgate.net/publication/319238349_The_promises_of_computational_ethnography_Improving_transparency_replicability_and_validity_for_realist_approaches_to_ethnographic_analysis)\n",
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"\n",
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"- Abramson, Corey M., and Daniel Dohan. 2015. \"Beyond Text: Using Arrays to Represent and Analyze Ethnographic Data.\" *Sociological Methodology* 45(1):272–319. https://doi.org/10.1177/0081175015578740 [Open access (PMC)](https://pmc.ncbi.nlm.nih.gov/articles/PMC4730903/)\n",
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"\n",
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"## License & Citation\n",
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"\n",
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" \"pandas\": \">=1.5,<2.3\",\n",
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" \"nltk\": \">=3.8,<4\",\n",
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" \"gensim\": \">=4.3,<5\",\n",
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" \"sklearn\": \">=1.2,<1.5\",\n",
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" \"sklearn\": \">=1.2,<1.8\",\n",
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" \"sentence_transformers\": \">=2.2,<3.6\",\n",
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" \"transformers\": \">=4.36,<5.1\",\n",
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" \"torch\": \">=2.1,<2.9\",\n",
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" \"torch\": \">=2.1,<3\",\n",
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" \"matplotlib\": \">=3.7,<4\",\n",
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" \"seaborn\": \">=0.12,<1\",\n",
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" \"networkx\": \">=3,<4\",\n",

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