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Code for "Formally Comparing Topic Models and Human-Generated Qualitative Coding of Physician Mothers' Experiences of Workplace Discrimination" This repository contains the code used in "Formally Comparing Topic Models and Human-Generated Qualitative Coding of Physician Mothers' Experiences of Workplace Discrimination" by Adam S. Miner, Sheridan A. Stewart, Meghan C. Halley, Laura K. Nelson, and Eleni Linos. Please refer to the original paper in Big Data & Society. In this paper, we evaluate whether topic models identify themes similar to those found by human coders in a prior qualitative analysis of physician mothers' experiences of workplace discrimination. More detail is available at the main page for the repository.

This repository holds the Gatsby 5 framework and the front end build for the Bronze Age Index. If you use this software, please cite it using the metadata from this file.

HHT (Hierarchical Historical Territories) is an ontology designed to describe multiple-hierarchy evolving territories in an historical context. This ontology relies on a discrete geometry description using building blocks. It is provided with an algorithm implemented with SHACL-Rules to detect and categorize changes inside a knowledge graph relying on HHT, and multiple datasets, including a description of territories of the French Third Republic, the NUTS nomenclature and the current french administrative hierarchy.

HHT is an ontology to represent historical territories involved in multiple overlaying hierarchies and their evolutions. Its documentation is available at https://www.irit.fr/recherches/MELODI/ontologies/HHT/

Full Changelog: https://github.com/maehr/the-corpus-as-a-network/commits/v0.1.0-alpha If you use this dataset, please cite it using the metadata from this file.

ASReview Insights is an extension to ASReview LAB that extends the software with tools for plotting and extracting the statistical results of several performance metrics. The extension is especially useful in combination with the simulation functionality of ASReview LAB.

gCube Catalogue (gCat) API is a library containing classes shared across gcat* components. gCube is an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments, such as the D4Science Infrastructure, by favouring the realisation of reuse-oriented policies. gCube has been used to successfully build and operate infrastructures and virtual research environments for application domains ranging from biodiversity to environmental data management and cultural heritage. gCube offers components supporting typical data management workflows including data access, curation, processing, and visualisation on a large set of data typologies ranging from primary biodiversity data to geospatial and tabular data. D4Science is a Hybrid Data Infrastructure combining over 500 software components and integrating data from more than 50 different data providers into a coherent and managed system of hardware, software, and data resources. The D4Science infrastructure drastically reduces the cost of ownership, maintenance, and operation thanks to the exploitation of gCube. The source code of this software version is available at: https://code-repo.d4science.org/gCubeSystem/gcat-api/releases/tag/v2.3.1

gCube Catalogue (gCat) Service allows any client to publish on the gCube Catalogue. gCube is an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments, such as the D4Science Infrastructure, by favouring the realisation of reuse-oriented policies. gCube has been used to successfully build and operate infrastructures and virtual research environments for application domains ranging from biodiversity to environmental data management and cultural heritage. gCube offers components supporting typical data management workflows including data access, curation, processing, and visualisation on a large set of data typologies ranging from primary biodiversity data to geospatial and tabular data. D4Science is a Hybrid Data Infrastructure combining over 500 software components and integrating data from more than 50 different data providers into a coherent and managed system of hardware, software, and data resources. The D4Science infrastructure drastically reduces the cost of ownership, maintenance, and operation thanks to the exploitation of gCube. The source code of this software version is available at: https://code-repo.d4science.org/gCubeSystem/gcat/releases/tag/v2.1.0

gCube Catalogue (gCat) Client is a library designed to interact with REST API exposed by the gCat Service. gCube is an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments, such as the D4Science Infrastructure, by favouring the realisation of reuse-oriented policies. gCube has been used to successfully build and operate infrastructures and virtual research environments for application domains ranging from biodiversity to environmental data management and cultural heritage. gCube offers components supporting typical data management workflows including data access, curation, processing, and visualisation on a large set of data typologies ranging from primary biodiversity data to geospatial and tabular data. D4Science is a Hybrid Data Infrastructure combining over 500 software components and integrating data from more than 50 different data providers into a coherent and managed system of hardware, software, and data resources. The D4Science infrastructure drastically reduces the cost of ownership, maintenance, and operation thanks to the exploitation of gCube. The source code of this software version is available at: https://code-repo.d4science.org/gCubeSystem/gcat-client/releases/tag/v2.4.0

This repository contains the data and code for our paper: A. Hermann, P. Gutiérrez, C. Chauvel, R. Maury, C. Liorzou, E. Willie, I. Phillip, R. Forkel, C. Rzymski, S. Bedford (in review). Artefact geochemistry demonstrates long-distance voyaging in the Polynesian Outliers.