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Record W7045688466

The case of Tumblr: young people’s mediatised responses to the crisis of learning about gender at school

2017· other· en· W7045688466 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Open (London South Bank University) · 2017
Typeother
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)NarrativePoliticsCivil societySubject (documents)Social transformationRepresentation (politics)Order (exchange)
DOInot available

Abstract

fetched live from OpenAlex

This volume critically analyses political strategies, civil society initiatives and modes of representation that challenge the conventional narratives of women in contexts of violence. It deepens into the concepts of victimhood and agency that inform the current debate on women as victims.\n\n\n\nThe volume opens the scope to explore initiatives that transcend the pair abuser–victim and explore the complex relations between gender and violence, and individual and collective accountability, through politics, activism and cultural productions in order to seek social transformation for gender justice. In innovative and interdisciplinary case studies, it brings attention to initiatives and narratives that make new spaces possible in which to name, self-identify, and resignify the female political subject as a social agent in situations of violence. The volume is global in scope, bringing together contributions ranging from India, Cambodia or Kenya, to Quebec, Bosnia or Spain. Different aspects of gender-based violence are analysed, from intimate relationships, sexual violence, military contexts, society and institutions.\n\n\n\nRe-writing Women as Victims: From Theory to Practice will be a key text for students, researchers and professionals in gender studies, political sciences, sociology and media and cultural Studies. Activists and policy makers will also find its practical approach and engagement with social transformation to be essential reading.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.339
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0040.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.376
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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