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Record W7161736302 · doi:10.59236/emro.v27i4a584

This is Our Everything

2025· article· W7161736302 on OpenAlexaboutno aff
Kristen Adams

Bibliographic record

VenueEducational Media Reviews Online · 2025
Typearticle
Language
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsDialog boxStorytellingNatural (archaeology)Ideal (ethics)Power (physics)Latin AmericansSet (abstract data type)Focus (optics)

Abstract

fetched live from OpenAlex

Distributed by epf media, 324 S. Beverly Drive, PMB 437, Beverly Hills, CA 90212; 310-839-1500Produced by Frederik Subei and Manuel DomesDirected by Frederik Subei2023, Streaming, 81 mins This documentary is set in Maranhão, Brazil and features the Guajajara and Awá cultures, who’s native land is being threatened by the logging industry. A group of Guajajara people take it upon themselves to defend their land, as there is no support from the government. It is a dangerous business, and the film captures the many aspects of the issue, as well as the lives and culture of the people involved. The film does so many things right and has all the components a great documentary should have, which unfortunately are often absent these days. It does well to focus on this one situation and place, and doesn't attempt to cover much else, as some films do. The pacing and length of the film is also spot on; it’s full of content and isn’t longer than it ought to be. There is a great balance of natural dialog taking place in the footage and interview or storytelling dialog to explain the history and present events. Also appreciated is the on-screen text with the speakers’ names and brief description of who they are. The documentary covers a number of subjects including, ethics, the logging business, deforestation, native peoples, human rights, area studies of Latin and South American, and current events. As a result, it would be ideal for classes in the social sciences or humanities, particularly geography, international studies, politics, or environmental studies. It’s certainly suitable for general adult or college audiences, however there are some graphic scenes that might not be appropriate for high school or younger viewers. Awards:Best Documentary, Santiago del Estero Film Festival, Argentina; Audience Award, The Natur Vision Film Festival, Germany; Rigoberta Menchú Community Award, Présence Autochtone International First Peoples' Festival, Canada; Jury Special Mention, WATCH DOCS International Film Festival, Poland

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.581
Threshold uncertainty score0.598

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.002
Scholarly communication0.0200.009
Open science0.0010.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.5810.462

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 head0.034
GPT teacher head0.315
Teacher spread0.280 · 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.

Study designNot applicable
Domainnot available
GenreReview

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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