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Record W3013631912 · doi:10.18438/eblip29636

Undercover Feminist Pedagogy in Information Literacy: A Literature Review

2020· review· en· W3013631912 on OpenAlexaffvenue
Emily Kingsland

Bibliographic record

VenueEvidence Based Library and Information Practice · 2020
Typereview
Languageen
FieldSocial Sciences
TopicFeminist Theory and Gender Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsInformation literacyFeminist pedagogyLibrary instructionInclusion (mineral)PedagogySociologyComputer scienceFeminismSocial science

Abstract

fetched live from OpenAlex

Abstract Objective – Feminist pedagogy in library instruction presents a new approach to actively engaging students in the research process. While feminist pedagogy in universities found early adoption in the 1970s, it is a newer phenomenon in library instruction, finding its early roots in works by Ladenson (2010), Accardi (2010), and Accardi and Vukovic (2013). By fostering active engagement and critical thinking skills, feminist library instruction sessions encourage students to question authority, actively participate in the knowledge production process, and become aware of their power and information privilege as they navigate increasingly complex information environments. At its core, this specific pedagogical approach subverts traditional classroom dynamics by focusing on diversity and inclusion. This literature review demonstrates how feminist pedagogy is currently being practiced in academic library information literacy sessions and how students can be assessed in a feminist manner. Methods – Practitioners of feminist pedagogy draw on techniques and methodologies designed to emphasize and value different experiences, such as cooperative learning, collaborative learning, inquiry-based learning, and inquiry-guided learning. These techniques and methodologies are used to develop students’ information literacy skills, to take ownership of the research process, and to stimulate critical inquiry. For the literature review, the following databases were searched: Education Resources Information Center (ERIC) on the ProQuest platform; Library & Information Science Abstracts (LISA); Library, Information Science & Technology Abstracts (LISTA); Scopus; and Web of Science Core Collection. Hand searching in WorldCat, as well as cited reference searching and bibliography mining, were also conducted. The searches were run between November 2018 and April 2019, followed by a second round in July 2019 based on participant feedback from the 2019 EBLIP10 conference. Case studies, books, book chapters, literature reviews, research papers, interviews, surveys, and papers based on statistical and qualitative analysis were consulted. Results – While some librarians may lack familiarity with feminist theory, feminism writ large influences academic librarians’ professional practice (Schroeder & Hollister, 2014). Librarians can incorporate feminist pedagogy into their practice and assessment in many concrete ways. However, librarians who focus on feminist pedagogy may face obstacles in their teaching, which may explain why publications on feminist pedagogical discourse within library and information studies have emerged only within the last decade (Fritch, 2018; Hackney et al., 2018). The most common challenge feminist librarians face is the restrictive nature of the standalone, one-shot information literacy session. Moreover, there is much room for improvement in library and information studies programs to introduce students to the theory and practice of feminist pedagogy. Conclusion – This paper highlights examples of feminist methods librarians can put into practice in their information literacy sessions and ways in which students can be assessed in a feminist manner. The literature demonstrates that feminist pedagogy has been successfully implemented for decades in universities. By comparison, practicing feminist pedagogy at the library instruction level is a relatively new area of focus within the profession. Hopefully, this growing trend will lead to more evidence based literature in the near future.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0180.018
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.393
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2020
Admission routes2
Has abstractyes

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