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Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersectional experiences of the nineteenth century U.S. South
Research article (Poetics, 2021) · cited 104× · AI/ML
Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersectional experiences of the nineteenth century U.S. South
Summary
Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersectional experiences of the nineteenth century U.S. South is a scholarly article[1].
Key Facts
Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersectional experiences of the nineteenth century U.S. South's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersectional experiences of the nineteenth century U.S. South. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-the-alignment-between-machine-learning-and-intersectionality-using-word-embeddings-to-measure-intersectional-
MLA“Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersectional experiences of the nineteenth century U.S. South.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-the-alignment-between-machine-learning-and-intersectionality-using-word-embeddings-to-measure-intersectional-.
BibTeX@misc{4ortxyz_leveraging-the-alignment-between-machine-learning-and-intersectionality-using-word-embeddings-to-measure-intersectional-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersectional experiences of the nineteenth century U.S. South}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-the-alignment-between-machine-learning-and-intersectionality-using-word-embeddings-to-measure-intersectional-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging the alignment between machine learning and intersectionality: Using word embeddings to measure intersectional experiences of the nineteenth century U.S. South — https://4ort.xyz/entity/leveraging-the-alignment-between-machine-learning-and-intersectionality-using-word-embeddings-to-measure-intersectional- (retrieved 2026-05-24)