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Corpus query results for the paper 'Tracking norms: a plea for a normative digital philosophy of science'

Version 1.0

Miłkowski, Marcin; Nowakowski, Przemysław R., 2025, "Corpus query results for the paper 'Tracking norms: a plea for a normative digital philosophy of science'", https://doi.org/10.18150/BUIS0A, RepOD, V1

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Description

Dataset Description


This dataset contains the results of queries performed against the MDPI Open Review Corpus 2, provided by SketchEngine. The files include concordances, frequency lists, and collocations derived from the corpus. The dataset is designed for linguistic analysis, text mining, and other research purposes.


Contents


File Types


- XLSX Files: Several Excel spreadsheets containing different types of query results.

- CSV File: A single CSV file with query results, provided for ease of use with plain-text processing tools.


File Details


- Concordances: Lines of text from the corpus showing specific keywords in context, useful for examining word usage or phrase structures.

- Frequency Lists: Lists of words or phrases sorted by their frequency within the corpus.

- Collocations: Pairs or groups of words that frequently occur together, providing insight into common word combinations.


File Naming


The filenames are self-explanatory and indicate the content of each file (e.g., `concordances.xlsx`, `frequency_list.csv`, `collocations.xlsx`). These names describe the type of data contained within and align with the corresponding queries.


Query Details


The exact queries used to generate the results are included in the data files themselves, typically at the top or within the header rows.


Usage


1. Exploration:

- Open the XLSX or CSV files using spreadsheet software (e.g., Microsoft Excel, Google Sheets) or programmatically with tools like Python (`pandas`) or R.

- Review the filenames to identify the type of data (e.g., concordances, frequency lists, collocations) for your analysis needs.


2. Analysis:

- Use concordances to study word usage in context.

- Use frequency lists to identify commonly used words or phrases.

- Use collocations to explore patterns of word co-occurrence.


3. Reproducibility:

- The queries are included in the files, enabling you to replicate or refine the results using SketchEngine.


Requirements


To work with the dataset, you will need:

- Spreadsheet software for XLSX and CSV files.

- Programming tools for advanced analysis, such as Python with `pandas` or R with `readxl`.


Licensing and Attribution


- The MDPI Open Review Corpus 2 is provided by SketchEngine. Users must adhere to its terms of use.

- This dataset contains derived data (concordances, frequency lists, and collocations). When using this dataset for research or publications, please cite SketchEngine and acknowledge the original MDPI Open Review Corpus 2.

Contact


For questions or further information, contact the dataset maintainer or refer to SketchEngine’s support resources.

Subject
Arts and Humanities
Keyword

Computational philosophy of science, Normativity, Corpus linguistics

Related Publication

Marcin Miłkowski, Przemysław Nowakowski, Tracking norms: a plea for a normative digital philosophy of science, Synthese (2025). doi: 10.1007/s11229-025-05200-6

CC BY-SA Creative Commons Attribution - ShareAlike 4.0 CC BY-SA Creative Commons Attribution - ShareAlike 4.0

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collocations_preloaded_mdpi_review_20250528174543.csv
Comma Separated Values - 25.9 KB - Aug 7, 2025 - 2 Downloads
MD5: b43c0dfa2f76edfaee28ea6bc646ec5c
License: CC BY-SA Creative Commons Attribution - ShareAlike 4.0
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frequency_user_milek_pl_test_mdpi_review_20241114134448.xlsx
MS Excel (XLSX) - 13.0 KB - Aug 7, 2025 - 2 Downloads
MD5: cd88da9631a048d260ce6b8a1327c3c6
License: CC BY-SA Creative Commons Attribution - ShareAlike 4.0
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frequency_user_milek_pl_test_mdpi_review_20241114154305.tab
Tabular Data - Original format: MS Excel (XLSX) - 31.9 KB - Aug 7, 2025 - 1 Download
License: CC BY-SA Creative Commons Attribution - ShareAlike 4.0
4 Variables, 480 Observations - UNF:6:1lNirFC94uVrCp3If3WQyQ==
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frequency_user_milek_pl_test_mdpi_review_20250109150633.xlsx
MS Excel (XLSX) - 34.0 KB - Aug 7, 2025 - 1 Download
MD5: a27ef3657cd0a9a976efc6aaa964a583
License: CC BY-SA Creative Commons Attribution - ShareAlike 4.0
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