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Record W7139364112

The Prodigal Son

2006· other· W7139364112 on OpenAlexaboutno aff
Tony Radevski

Bibliographic record

VenueResearchOnline - ND (The University of Notre Dame Australia) · 2006
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQueerMiamiLesbianFilm directorDocumentary filmFilm festivalMovie theater
DOInot available

Abstract

fetched live from OpenAlex

The Prodigal Son is a documentary that explores how first-generation migrant parents have struggled to come to terms with their son's sexuality. When Ted came out as gay to his parents, his mother Ljubica insisted it was a passing phase and his father Alexo refused to speak to him. Fifteen years passed, with no communication between father and son, until Alexo discovered he was suffering from a serious illness. AWARDS: Flickerfest International Short Film Festival 2006 - WON: Best Documentary - Highly Commended - WON: Most Popular Film IF Awards 2006 - WON: Best Short Documentary Dendy Awards 2006, Highly Commended SCREENINGS: - Australia, 10 January 2006, Flickerfest International Short Film Festival - Australia, 19 January 2006, Mardi Gras Film Festival - Australia, 3 May 2006, TV premiere, SBS - Australia, 17 October 2006, Canberra Capital Queer Film Festival - USA, 6 May 2007, Miami Gay and Lesbian Film Festival - USA, 8 June 2007, Newfest New York LGBT Film Festival - USA, 16 November 2007, Reeling Chicago Gay Lesbian Film Festival - Australia, 16 March 2008, Melbourne Queer Film Festival - Canada, 19 October 2008, Macedonian Film Festival. The Prodigal Son, Written and Directed by Tony Radevski, produced by Tom Zubrycki, edited by Walter McIntosh. Funded by: Australian Film Commission, New South Wales Film & TV Office and SBS Independent. The Prodigal Son is available to the Staff and Students of the University of Notre Dame from St Benedict's Library, Sydney.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.141
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1410.050

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 head0.062
GPT teacher head0.318
Teacher spread0.256 · 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
Published2006
Admission routes1
Has abstractyes

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