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Record W7161690320 · doi:10.59236/emro.v27i2a8403

Intercepted

2025· article· W7161690320 on OpenAlex
Aaron Pahl

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEducational Media Reviews Online · 2025
Typearticle
Language
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningNarrativePhoneContext (archaeology)

Abstract

fetched live from OpenAlex

Distributed by Grasshopper Film, 12 East 32nd St., 4th Floor, New York, NY 10016Produced by Rocío Barba Fuentes and Giacomo NudiDirected by Oksana Karpovych2024, Streaming, 93 mins Intercepted is an artistic documentary portrayal of the Russian invasion of Ukraine through a combination of audio phone calls from Russian soldiers to their friends and families back home, and video of the destruction throughout the Ukraine. The calls provide a shocking window into the level of propaganda employed by Russia and the openness callers had when talking about potential war crimes they committed or witnessed. However, the choice to not include any follow-up or reaction to the calls encourages the viewer to continue listening without digesting what is being said. This ultimately lessens the impact of the calls as they get buried and replaced by subsequent calls. The visuals are interesting but, apart from one segment, have no clear connection to the audio being played. The calls illustrate how important ordinary creature comforts like ice cream, juice, and being able to bathe can be to soldiers, and how basic necessities like shoes and T-shirts are being looted. The viewer is treated to a different perspective on the war then what is frequently reported and a snapshot of how the destruction has impacted the lives of ordinary Ukrainians. This film is certainly worth watching but the viewer needs to go in prepared. The film is very artistic and lacks narration or context around the audio recordings or locations that are being shown. This film is an hour and half long but could have been cut in half without losing any visual or audio content. The extended stretches of silence between audio recordings and slow rotation between visuals would make it a challenging film to show in a class while, the lack of any accompanying context would require extensive supplemental instruction. Incorporating select clips of the audio recordings into a class could be impactful, but as a whole I would rate Intercepted as recommended with reservations. The film would need to be accompanied by supplemental material. Awards:2024 Gotham Awards Nominee, Best Documentary Feature; Grand Prize for National Feature, 2024 Montreal International Documentary Festival

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.

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)0.001
metaresearch head score (Gemma)0.006
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: Review · Consensus signal: Review
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.004

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 head0.064
GPT teacher head0.327
Teacher spread0.263 · 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