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Record W7161738116 · doi:10.59236/emro.v27i1a8385

Behind the Smokescreen

2025· article· W7161738116 on OpenAlex
Lauren Stieglitz

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducational Media Reviews Online · 2025
Typearticle
Language
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPoliticsIndigenousNarrativeDeforestation (computer science)Climate changeCornish

Abstract

fetched live from OpenAlex

Distributed by epf media, 324 S. Beverly Drive, PMB 437, Beverly Hills, CA 90212; 310-839-1500Produced by Anneleen OphoffDirected by Anneleen Ophoff2024, Streaming, 29 mins Behind the Smokescreen is a fascinating short documentary about the deforestation and wildfire crisis in Bolivia. Behind the Smokescreen introduces the many factors of this issue, exploring the volunteer firefighters who risk their lives to preserve the vanishing rainforest, the farmers whose slash-and-burn practices lead to devastating fires, and the economic and political factors that contribute to widespread deforestation in Bolivia. Behind the Smokescreen briefly touches on how these issues affect Indigenous populations and highlights the sustainable farming practices used by some Indigenous farmers. The documentary is very informative and highlights an important issue that is not often on the radar of North Americans. The documentary has an informational narration and features the perspectives of multiple firefighters, environmentalists and park rangers. It only features one farmer, and the film stresses that many farmers are reluctant to talk to journalists. Contextual information about the political and economic factors are provided in voice over. Additionally, Behind the Smokescreen features gorgeous cinematography that captures affecting imagery of forest fires and makes for a moving and interesting documentary. With a run time of 29 minutes, Behind the Smokescreen is not able to delve particularly deeply into this multifaceted issue, but it does provide a captivating overview. The short run time is the only downside to this otherwise fantastic documentary. It leaves the viewer wanting to learn more about all aspects of this issue. Behind the Smokescreen is highly recommended, both for academic and general audiences. It would be most useful to Agriculture, Environmental Sciences or Latin American Studies. Though it touches on topics of interest to Indigenous Studies, there is not enough content to be useful in an academic context.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.547
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.001

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 head0.033
GPT teacher head0.299
Teacher spread0.266 · 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