MétaCan
Menu
Back to cohort
Record W4323043833 · doi:10.3390/socsci12030145

Terminology and Language Used in Indigenous-Specific Gender and Sexuality Diversity Studies: A Systematic Review

2023· review· en· W4323043833 on OpenAlexafffund
Michael J. Fox, Haorui Wu

Bibliographic record

VenueSocial Sciences · 2023
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsDalhousie University
FundersDalhousie University
KeywordsHuman sexualityTerminologyIndigenousDiversity (politics)Gender studiesInclusion (mineral)SociologyGender diversityCultural diversityPsychologyAnthropologyLinguisticsEcology

Abstract

fetched live from OpenAlex

Cultural responsivity in academic research is central to the use of language that is representative and inclusive of Indigenous worldviews on gender and sexuality diversity. This article uses the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach to explore current studies’ contribution to the use of gender and sexuality diverse terminology and language that is representative of Indigenous worldviews. A systematic review of 85 journal articles (published between January 2000 and June 2021) generates both quantitative results regarding the frequency of terms used and qualitative outcomes of actively used terminologies, geographic regions, identified populations, and gender and sexuality diversity-specific themes in Indigenous studies. A substantial glossary of terminology characteristic of the multiplicity of gender and sexuality diversity was identified, however, further research examining gender and sexuality diversity from the perspective of Indigenous worldviews is needed to align with the best practices of equity, diversity, inclusion and belonging.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.625
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0120.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.263
GPT teacher head0.476
Teacher spread0.213 · 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 teacher head, not a consensus.

Study designQualitative
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".

Quick stats

Citations9
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueSocial SciencesSame topicIndigenous Health, Education, and RightsFrench-language works237,207