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Record W7154841899 · doi:10.59236/emro.v27i11a103

In the Shadow of the Pines

2025· article· W7154841899 on OpenAlexaboutno aff
Giovanna Colosi

Bibliographic record

VenueEducational Media Reviews Online · 2025
Typearticle
Language
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsJuryImmigrationShadow (psychology)NarrativeShort FilmDignityStyle (visual arts)Shame

Abstract

fetched live from OpenAlex

Distributed by Good DocsProduced by Anne Koizumi and Sahar YousefiDirected by Anne Koizumi2020, Streaming, 8 mins Anne Koizumi’s In the Shadow of the Pines is a moving and visually inventive short documentary film that explores immigrant identity, social-class, and family through Koizumi’s memories, childhood photographs, and her father’s history. Using a distinct blend of stop-motion animation, short film splices, and her family’s photographs, Koizumi reflects on her childhood shame around her Japanese immigrant father’s work as her school’s janitor. In the Shadow of the Pines is a timely film, as it highlights immigrant work, amid ongoing conversations in the U.S. about immigrant labor and the dignity of working-class lives. Koizumi offers a sensitive and thoughtful viewpoint. The film’s only drawback is its short running time at only 8 minutes. Koizumi offers a sweet glimpse into her relationship with her father foraging mushrooms; and her standoffishness with him in school, but the story could have benefitted by offering a more detailed look into their life together at home to give it more emotional depth. This film is recommended; its focus on class, labor, and family immigrant experiences would make it a good choice to watch in courses such as Cultural Foundations of Education, Asian American Studies, Family Studies, and Sociology. The film’s handmade, stop-motion style would also make it an interesting watch for film and media studies students studying animation or different documentary styles. Awards:Special Jury Mention, Hot Docs; NAD School Special Jury Prize, Montreal Stop-Motion Film Festival; Best Short Narrative and Best Canadian Short, Ottawa International Animation Festival; Best Canadian Film and Audience Award, GIRAF Animation Festival; Special Jury Mention New York International Children's Film Festival; Best Short Animation, San Francisco International Film Festival; Golden Sheaf Nominee, Yorkton Film Festival; Best Short Animation, Indie Street Film Festival; Best Short Documentary, Virginia Film Festival; Best Short Film, Vancouver Asian Film Festival; Honorable Mention, Hawaii International Film 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.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.116
Threshold uncertainty score0.388

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1160.015

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 head0.068
GPT teacher head0.416
Teacher spread0.348 · 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
Published2025
Admission routes1
Has abstractyes

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