Gender bias in machine learning: insights from official labour statistics and textual analysis.
Saved in:
| Title: | Gender bias in machine learning: insights from official labour statistics and textual analysis. |
|---|---|
| Authors: | Menis–Mastromichalakis, Orfeas1 (AUTHOR), Filandrianos, George1 (AUTHOR), Symeonaki, Maria2 (AUTHOR) msymeon@panteion.gr, Stamatopoulou, Glykeria2 (AUTHOR), Parsanoglou, Dimitris3 (AUTHOR), Stamou, Giorgos1 (AUTHOR) |
| Source: | Quality & Quantity. Feb2026, Vol. 60 Issue 1, p619-653. 35p. |
| Database: | Sociology Source Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: sxi DbLabel: Sociology Source Ultimate An: 191693078 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Gender bias in machine learning: insights from official labour statistics and textual analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Menis–Mastromichalakis%2C+Orfeas%22">Menis–Mastromichalakis, Orfeas</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Filandrianos%2C+George%22">Filandrianos, George</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Symeonaki%2C+Maria%22">Symeonaki, Maria</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> msymeon@panteion.gr</i><br /><searchLink fieldCode="AR" term="%22Stamatopoulou%2C+Glykeria%22">Stamatopoulou, Glykeria</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Parsanoglou%2C+Dimitris%22">Parsanoglou, Dimitris</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stamou%2C+Giorgos%22">Stamou, Giorgos</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Quality+%26+Quantity%22">Quality & Quantity</searchLink>. Feb2026, Vol. 60 Issue 1, p619-653. 35p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=sxi&AN=191693078 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11135-025-02261-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 35 StartPage: 619 Titles: – TitleFull: Gender bias in machine learning: insights from official labour statistics and textual analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Menis–Mastromichalakis, Orfeas – PersonEntity: Name: NameFull: Filandrianos, George – PersonEntity: Name: NameFull: Symeonaki, Maria – PersonEntity: Name: NameFull: Stamatopoulou, Glykeria – PersonEntity: Name: NameFull: Parsanoglou, Dimitris – PersonEntity: Name: NameFull: Stamou, Giorgos IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00335177 Numbering: – Type: volume Value: 60 – Type: issue Value: 1 Titles: – TitleFull: Quality & Quantity Type: main |
| ResultId | 1 |