Bibliographic record
Abstract
Our Father is a fictional short film that tells a story of two women—a mother (Mira, 53, an immigrant from Croatia) and her daughter (Emily, 30, a born Canadian)— who are trying to set aside their differences while traveling to the cemetery where Mira’s deceased husband and Emily’s father is buried. \nVarious disputes happen during their time in the car: the daughter’s lack of interest in visiting the grave of her father regularly, Emily’s (in her mother’s view) masculinized appearance, their differing views on death and religion, and the mother’s strict and unforgiving attitude towards life. The main conflict arises when the mother realizes that Emily failed to buy a proper set of flowers, thus exhibiting a lack of understanding and commitment to preserving the tradition of godišnjica (a yearly visit to the grave of a deceased relative). After enduring the pain of revisiting their pasts and dealing with their ongoing interpersonal conflicts, Mira and Emily end their visit to the cemetery with an unsettling feeling that their differences will never be alleviated. The last exchange of words between them, in which Mira sends out a prayer to God in Croatian (uttering a full sentence in her native language for the first time during the film), and Emily does not understand her, hints that their oppositions might have an additional level of complexity. As they leave the cemetery, life goes back to ‘normal’, the birds start chirping and Mira and Emily go back to their every-day talk, hinting that the conflicts between them will keep reemerging over and over again, specially during the yearly godišnjica.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.468 | 0.252 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".