MétaCan
Menu
Back to cohort

Sexual Harassment and Violence in the Practice of Anthropology: Creating Safe Conversational Spaces for CASCA Members

2022· article· en· W4280509924 on OpenAlexaffvenueabout
Marieka Sax, Marie Michèle Grenon, María Cristina Manzano-Munguía, Tara L. Joly

Bibliographic record

VenueAnthropologica · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropology: Ethics, History, Culture
Canadian institutionsUniversité LavalUniversity of Northern British Columbia
Fundersnot available
KeywordsHarassmentSilenceConversationSexual violenceSociologySpace (punctuation)CriminologyPublic relationsGender studiesPolitical sciencePsychologySocial psychologyCommunicationComputer science

Abstract

fetched live from OpenAlex

The Canadian Anthropology Society is working to address sexualharassment and violence at institutional and community-based settings whereanthropologists undertake their work. In 2021, the newly formed SexualHarassment and Violence Working Group held a roundtable at the CASCAconference to start a conversation about sexual violence among CASCAmembers and to workshop best practices to prevent, disrupt, and respondto incidents of sexual harassment and violence that CASCA members mayexperience or observe. Here, the Working Group summarizes the process ofplanning, implementing, and following up the roundtable, focusing on specificactions taken by the organizers to ensure a safe conversational space before,during, and after the event. We demonstrate how the roundtable aligns withinthe larger framework of CASCA’s institutional history and future. The goalof this report is to provide a framework for convening difficult conversationsin professional settings, especially in an online environment. We providerecommendations to this end, and emphasize the need to hold furtherconversations to combat the air of silence that remains, even in a post-#MeTooworld, surrounding sexual violence in anthropology.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.011
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.391
Teacher spread0.345 · 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; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueAnthropologicaSame topicAnthropology: Ethics, History, CultureFrench-language works237,207