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Record W6986628377

Prolonging the Afterimage: Looking at and Talking about Photographs
\nof Black Montreal

2021· dissertation· en· W6986628377 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2021
Typedissertation
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionHyporeflexiaDysgeusiaLiquationFusible alloyTSG101
DOInot available

Abstract

fetched live from OpenAlex

This thesis takes as its focus Black Montreal’s history of image-making and image preservation. Engaging primarily with snapshot and vernacular images taken between the 1940s-1980s, this research charts how photography has functioned as an integral force in the formation and production of selfhood, community, and a sense of belonging as well as a practice of resistance and of affirming visibility for Black Montrealers. Guided by the question of whether photography and oral history could be used in tandem to come into encounter with the minor histories and everyday stories of Montreal’s Black communities, this thesis comprised of conducting oral history photo-interviews with Black Montrealers and studying several personal collections, Black community-oriented and institutional photographic archives. The interdisciplinary approach of blending of visual culture and oral history speaks directly to the interwovenness and inseparability of photography and orality which is made most evident through the photographs that are included within this research. Moreover, the process of looking, touching, and talking about served to further contextualize the photographs within personal and archival collections, share information regarding practices of vernacular image-making and preservation in black communities in Montreal, as well as highlight the dynamic relationship that exists between memory, photography, orality, and affect.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.014
GPT teacher head0.259
Teacher spread0.246 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

Explore more

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