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Record W2418211313

Lifeworks: Photo opportunities

2003· article· en· W2418211313 on OpenAlexvenueaboutno aff
Jonah Samson

Bibliographic record

VenueCanadian Medical Association Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPhotographyPortraitVisual artsSubject (documents)SociologyMedia studiesArtComputer scienceLibrary science
DOInot available

Abstract

fetched live from OpenAlex

The photographs of Jamel Shabazz conjure up words that read like hybrids based on the artist's own name: words like shazam and pizzazz. They are flashy and cool. The images are street photographs of African–Americans, taken in Brooklyn between 1980 and 1989, and as a body of work they essentially document hip-hop culture. Yet, whatever racial or social differences there may be between subject and audience, a kind of rapport is instantly achieved; the young people in Shabazz's portraits appear so comfortable with being photographed that they project an easy familiarity. Shabazz's show at the SOF Art House was one of the highlights of Contact 2003, Toronto's annual photography festival, and was the Canadian premiere of his work. One of his images was selected as the cover photo for the program of the month-long festival in May, and some his images taken in spray-painted New York subway cars were selected to appear on advertising panels located throughout Toronto's subway system. He was also asked to give a lecture at the Art Gallery of Ontario. Before he would agree, Shabazz made a special request. He wanted to have some type of community involvement with youth. The result was that he took 15 teens around the city, teaching them how to photograph the urban environment. It appears that it is difficult for Shabazz to separate his love for photography from his commitment to his day job as a social worker for the New York Department of Corrections. He uses both careers to help initiate positive change. “I was fortunate to photograph many men, women, and children in their best years before crack and AIDS destroyed their communities,” he says. “The camera enabled me to tell a person how special and valuable they were and I had hoped that I could encourage people to look toward their own futures and believe in themselves.” Shabazz find's hope in his subjects' faces. Beyond the bravado of the uniform of Adidas running shoes and layers of gold accessories, he glimpses a smirk or an innocent stare. These pictures are of people at home in their environment, demonstrating an intense comfort in front of the camera. They want to be photographed. They pose. They gesture dramatically. They give their best, practised cool stares. They want to be seen. They want to model in front of the camera. They are fashion-plates. Shabazz captures it all, and the juxtapositions that find their way into his work are striking. Street clothing, tough poses and “attitude” appear alongside helpless expressions and vulnerable stances. A boy laughs while being hugged by his girlfriend on the subway or a motorcycle. Young teens try desperately to appear older by adopting the clothes, pose and gaze they've carefully observed in others: arms crossed, hands tucked tightly into armpits, one foot forward, eyes squinted. A girl sitting on the hood of a souped-up Cadillac, arms back, legs spread, a face of helplessness. One large colour photograph is of the head and torso of a young man. On first glance he appears aggressive: with his blue mesh baseball cap, multiple gold chains, gold bracelet, gold watch, bulging tattooed bicep and scarred forearm, he holds a disappearing cigarette between his thumb and forefinger, staring directly into the viewer. It is this stare that breaks through to us. Despite all of the subject's best efforts, Shabazz has captured a moment of vulnerability. Shabazz reaches out to his subjects, as if to point them in the right direction. These photographs show how they have placed their confidence in him. Their comfort allows us to share in this confidence. Beyond race and culture, we become exposed to a personal moment. Jonah Samson Family Medicine Resident St. Michael's Hospital Toronto, Ont.

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)0.020
metaresearch head score (Gemma)0.049
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, 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: Empirical · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0290.000

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 head0.456
GPT teacher head0.551
Teacher spread0.095 · 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
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
Published2003
Admission routes2
Has abstractyes

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