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Record W4386326938 · doi:10.18778/1733-8069.19.3.11

Storytelling and the Healing Power of Photography: Rita Leistner’s My Space Project

2023· article· en· W4386326938 on OpenAlexaffabout
Kalina Kukiełko-Rogozińska, Krzysztof Tomanek

Bibliographic record

VenuePrzegląd Socjologii Jakościowej · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsRobarts Clinical Trials
Fundersnot available
KeywordsStorytellingNarrativeSpace (punctuation)PhotographyVisual artsPower (physics)DowntownSociologyPrismArtAestheticsHistoryLiteratureComputer science

Abstract

fetched live from OpenAlex

The aim of the article is to analyze the artistic, social project titled My Space. Stories from Inside the Downtown Eastside Vancouver, created by Canadian photographer Rita Leistner. Through her photographs and interviews, the artist presents the everyday life of a group of drug and alcohol addicted residents of Astoria and Balmoral hotels. The article is based on photographs taken by Leistner and the statements of project participants – both acquired from the artist’s Webpage. Bearing in mind Leistner’s intentions, we tend to present her story in the storytelling narrative. We treat that approach as a useful tool for qualitative data analysis as well as insightful framework to represent a story. This approach has worked well so far in the study of culture and art. Thus, we focus on the content and a form of a story while uncovering its threads looking at it from different dimensions interpreted through the prism of individuals to whom the story relates. We look at the way in which the space occupied by the heroes of the story is being photographed by Leistner, who creates a medium allowing the narrative to connect the present with the past and the future. That medium plays an important role in building a community.

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)0.015
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.517
GPT teacher head0.603
Teacher spread0.086 · 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 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
Published2023
Admission routes2
Has abstractyes

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