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Record W7051629761

Our Father

2015· other· en· W7051629761 on OpenAlexaboutno aff

Bibliographic record

VenueYorkSpace (York University) · 2015
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingAsidePrayerSentenceDaughterGriefImmigrationSet (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.3090.002

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 head0.020
GPT teacher head0.235
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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