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Record W2058639677 · doi:10.1080/14484520802628373

‘I Must Know’: Re-membering Native Women in the CAVNET_IW Community

2008· article· en· W2058639677 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLife Writing · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamIndigenousColonialismFourth WorldNarrativeMedia studiesAmnestyHistorySexual violenceHistorical traumaGender studiesCriminologySociologyPoliticsPolitical sciencePsychologyLawLiteratureArt

Abstract

fetched live from OpenAlex

In both United States and Canadian mainstream news, the disproportionate rate of sexual violence against Native/American Indian, Alaska Native, and First Nations women is consistently underreported. Indeed, as Amnesty International concluded in April 2007 Ybanez , Vicki . Message #4177 . 12 April 2007 . [Google Scholar], despite centuries of brutalisation of Indigenous women, and even with the recent addition of its own one-hundred-thirteen pages of documentation of “many incidents of sexual violence against American Indian and Alaska native women[,]…the great majority of stories remain[s] untold.” At the same time, Indigenous women have been asserting their own stories around the trauma of violence in ways that work toward making whole what colonialism attempts to systematically dismember. One particularly powerful venue of re-membering the piecemeal and partial representations of violence against Native women in mainstream U.S. news is the U.S.-based internet community CAVNET_IW (Communities Against Violence Network – Indigenous Women), whose formation, intentions, and practices serve as a potent counter-narrative to the mainstream news media's consistent efforts to render Native women's stories invisible and insignificant. As a site that not only disseminates news about violence against Indigenous women but creates a forum for women to tell their own stories, CAVNET_IW has fashioned a potential safe space through which immediate and historical trauma affecting Native women paves pathways to personal healing and political change. At the same time, CAVNET_IW, a carefully monitored discussion space requiring member sign-up and message screening before posting, paradoxically works to end violence and heal trauma by necessarily circulating life stories that keep episodes of traumatic violence constantly present in the consciousness of CAVNET_IW members.

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.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.139
GPT teacher head0.283
Teacher spread0.144 · 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