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Record W2594609276

Photography, building and dwelling: Fiona Tan’s empty house

2016· book-chapter· en· W2594609276 on OpenAlexaboutno aff
Kathryn Brown

Bibliographic record

VenueLoughborough University Institutional Repository (Loughborough University) · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsCompendiumPhotographyCitizenshipCitizen journalismParticipatory action researchIdentity (music)Visual artsSociologyMedia studiesGender studiesHistoryArtPolitical scienceAnthropologyAestheticsLawArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Home/Land: Women, Citizenship, Photographies is an extensive compendium of texts and images, combining scholarly, creative and critical writing on photography with new work in photography. The contributions to the compendium range from academic essays on fine art and documentary photographies to photo-essays, community-based and pedagogical photographic projects, personal testimonies, creative writing, activist interventions and accounts of participatory action research using photography. Home/Land is global in its reach, exploring women’s lives in Britain and other European nations, the United States, Canada, the Middle East, South Africa, Asia and Australia. Bringing together texts and images produced by an international group of feminist scholars, activists, artists and educators, the book demonstrates how women have used photographic practices to find places for themselves as citizens, denizens, exiles or guests, within or beyond the nation as currently conceived, and, in so doing, how they actively produce new and different forms of identity, community 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0010.001
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 head0.175
GPT teacher head0.395
Teacher spread0.220 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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