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Record W2346427423 · doi:10.17169/fqs-17.2.2526

Embodied Ways of Storying the Self: A Systematic Review of Body-Mapping

2015· review· en· W2346427423 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2015
Typereview
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsYork University
Fundersnot available
KeywordsEmbodied cognitionComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The first recorded instance of whole-body-mapping for research purposes is a comparison of women's identity and the concept of the reproductive system in rural Jamaica and the UK. It was later developed in a structured workshop process in South Africa to give voice to the experiences of HIV positive individuals, decrease stigma, and advocate for provision of anti-retroviral medication. Whole-body mapping involves tracing around a person's body to create a life-sized outline, which is filled in during a creative and reflective process, producing an image representing multiple aspects of their embodied experience. Body-mapping holds promise as a qualitative, participatory research method to produce and disseminate knowledge. However, it is unclear how it is being used, by whom, and in what context. This article presents the findings of a systematic review of body-mapping in the published literature. The review identifies various implementations of body-mapping in research, therapeutic, and educational contexts. The degree of emphasis on social justice, knowledge translation, research, and therapeutic benefit varies a great deal, as does the intent and use of body-mapping. While body-mapping holds promise, more empirical investigation would be valuable in determining its characteristics in research, clinical, educative and political spheres. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1602225

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)0.030
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Open science
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.005
Science and technology studies0.0030.003
Scholarly communication0.0000.001
Open science0.0080.002
Research integrity0.0010.002
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 head0.780
GPT teacher head0.596
Teacher spread0.184 · 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