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Record W4407853323 · doi:10.1007/s11013-025-09900-z

The Movie Monday Archives: Chronicling Twenty-Six Years of Showing Films in a Psychiatric Hospital Theatre

2025· article· en· W4407853323 on OpenAlexafffundabout
Bruce Wallace, Bruce Saunders

Bibliographic record

VenueCulture Medicine and Psychiatry · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsUniversity of Victoria
FundersCanada Council for the Arts
KeywordsPsychologyFilm festivalPsychiatryPsychiatric hospitalPublic healthHistoryMedia studiesMedicineSociologyNursing

Abstract

fetched live from OpenAlex

A teaching theatre in a local psychiatric hospital was transformed into an ex-patient's Theatre of Dreams for over two decades as he hosted weekly events that welcomed patients from the wards, ex-patients and the general public to become an audience together. Movie Monday was a unique and innovative free weekly media arts programme that would become a valued community-arts programme that brought people together to be entertained while simultaneously addressing some of the society's most pressing and often divisive issues. The project ended when COVID locked down the hospital theatre. Now, the Movie Monday Archives are available to anyone online through Madness Canada. The Archives are a repository for the weekly programmes as well as special events such as the Reel Madness Film Festivals, and writings, photos, financial and programme details, and more. The Movie Monday Archives preserve this history of a local consumer-based initiative that engaged the arts to address mental health stigma and provide practical information of a potential model to build future initiatives elsewhere.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.005
Scholarly communication0.0100.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0170.002

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 head0.012
GPT teacher head0.239
Teacher spread0.228 · 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 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
Published2025
Admission routes3
Has abstractyes

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