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Record W4232261383 · doi:10.32920/ryerson.14653971.v1

A catalogue and inventory for Roberto Ariganello's personal collection at Canadian filmmakers distribution centre

2021· preprint· en· W4232261383 on OpenAlexaffabout
Ningjiao Han

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFilm directorArt historyData collectionBiographyReflection (computer programming)ArtVisual artsMovie theaterSociologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

This is an applied project wherein 86 films by independent filmmaker Roberto Ariganello were catalogued at Canadian Filmmaker Distribution Center (CFMDC) from January-June 2018. Ariganello is acknowledged as one of the most vital cultural workers when it comes to his devotion to the independent film and art industries, and as a grouping of orphan films, this collection of Ariganello’s has been ignored for a long period of time. The outcome is an inventory for a box containing Roberto Ariganello’s collection, which is stored at CFMDC. There are two chapters: the first is a biography, and study of the status and achievement of Ariganello as an independent filmmaker, as well as a brief history of different gauges of film. The second chapter offers a reflection on the process of cataloguing, a critical analysis of the collection, and preservation recommendations.

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)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.494
Threshold uncertainty score0.993

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0320.037
Science and technology studies0.0080.002
Scholarly communication0.0080.004
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1290.054

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 head0.042
GPT teacher head0.247
Teacher spread0.205 · 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 routes2
Has abstractyes

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