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Record W7162107587 · doi:10.59236/emro.v26i7a8252

Canela

2024· article· W7162107587 on OpenAlexaboutno aff
Johnnie N. Gray

Bibliographic record

VenueEducational Media Reviews Online · 2024
Typearticle
Language
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessWrightClothingStorytellingWork (physics)

Abstract

fetched live from OpenAlex

Distributed by epf media, 324 S. Beverly Drive, PMB 437, Beverly Hills, CA 90212; 310-839-1500Produced by Cecilia Del ValleDirected by Cecilia Del Valle2020, Streaming, 77 mins Canela is a documentary that focuses on the how one person must grapple with being their authentic self and making hard decisions. At 48, Canela decided to start transitioning with the support of her trans wife. Although clothes and makeup are a start, taking hormones makes the transition start to become encouraging, so Canela must decide if she wants to have surgery to fulfill the goal of becoming “authentic”. During the documentary, we follow Canela as she teaches, works as a lead architect and navigates the hurdles of trans healthcare. We witness her as she visits her children and discusses possible financial implications of not being able to work and support them. She seeks out help from a friend and even visits a church service to find solace. Canela means "cinnamon", which is quite fitting as early images of Canela before her transition, show her as a ruggedly handsome man who is now delicate and nuanced. One highlight includes watching Canela professing ideas of Frank Lloyd Wright to her students as they intently absorb everything she says. Intimate storytelling by way of editing and filmmaking, makes the viewer feel they are not intruding, but watching the time unfold at Canela’s pace. Recommended for college and general adult viewing due to nuanced themes, rather than focused moments of trans life. A bit slow-paced, but engaging and heartfelt at times. Awards:Best Film & Audience Award Best Film, Rio Film Festival LGBTQIA+, Brazil; Best Film, AMOR, LGBT+ International Film Festival, Chile; Best Film, New Directors Competition, VLAFF, Vancouver Latin American Film Festival, Canada; Special Mention, ASTERISCO International LGBTIQ+ Film, Argentina

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)0.001
metaresearch head score (Gemma)0.002
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
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0460.048

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 head0.115
GPT teacher head0.488
Teacher spread0.374 · 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
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
Published2024
Admission routes1
Has abstractyes

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