MétaCan
Menu
← Back to cohort
Record W4238236480 · doi:10.32920/ryerson.14653239

How she sees it: cataloguing and rehousing the Arleen Schloss Super 8mm film collection at Anthology Film Archives

2021· preprint· en· W4238236480 on OpenAlexaff
Traci Mark

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsDowntownContext (archaeology)ArtVisual artsArt historyPaintingPerformance artHistoryArchaeology

Abstract

fetched live from OpenAlex

This thesis is an applied cataloguing project wherein 180 Super 8mm films by multidisciplinary artist Arleen Schloss were catalogued at Anthology Film Archives from January-June 2016. Schloss is known mainly for her performance work within the Downtown New York art scene in the late 1970s/1980s, and for founding A's, a performance and art venue available for artists to show and experiment with their work. The objective of this thesis project was to catalogue Schloss's Super 8mm film collection at Anthology, while also conducting research on her artistic practice during the period she was most actively making films. There are two chapters; the first explores Schloss's background as an artist and gives context for the Downtown New York art scene and her place within it. The second chapter is a case study that details the cataloguing process of Schloss's Super 8mm films, and it also provides preservation recommendations for future use.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0060.002
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.004

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 head0.040
GPT teacher head0.226
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicCinema and Media Studies→French-language works237,207→