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Record W4372016056 · doi:10.1017/9781846152788.014

El Norte (The North, 1983), Directed by Gregory Nava

2004· other· en· W4372016056 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

Cast Rosa, played by Zaide Silvia Gutiérrez Enrique, played by David Villapando Arturo Xuncax (Rosa’s father), played by Ernesto Gómez Cruz Lupe Xuncax (Rosa’s mother), played by Alicia del Lago Nacha, played by Lupe Ontiveros Pedro, played by Eradio Zepeda Josefita, played by Stella Quan Monty, played by Trinidad Silva Raimundo, played by Abel Franco Jaime, played by Mike Gomez Ed, played by John Martin Joel, played by Ronald Jospeh Bruce, played by Larry Cedar Karen, played by Sheryl Bernstein Len, played by Gregory Enton Carlos, played by Tony Plana Jorge, played by Enrique Castillo Crew Screenplay: Gregory Nava and Anna Thomas Director: Gregory Nava Producer: Anna Thomas Sound Producer: Robert Yerinton Cinematography: James Glennon Film Editor: Betsy Blankett Set direction: David Wasco Editing: Betsy Blanket Music Composers: Gustav Mahler, Guiseppe Verdi, Samuel Barber, The Folkloristas, Melecio Martinez, Emil Richards, Linda O’Brien Awards Winner, Best original screenplay, Academy of Motion Picture Arts and Sciences, Hollywood, 1983 Winner, First Prize, Montreal Film Festival, 1983 Best original screenplay, Writers’ Guild of America, 1983 Official Selection, Cannes Film Festival, 1983 Plot The film is split into three parts, the first set in Guatemala, the second in Mexico and the third in the United States, mainly in Los Angeles. The film opens with breathtaking shots of rural Guatemala. Arturo Xuncax works at a coffee plantation and he is involved in the workers’ resistance movement; the Army arrives during one of their meetings and kills everyone. Because Arturo Xuncax killed one of the soldiers, el Puma, they decapitate him and hang his head from a nearby tree. The mother, Lupe, is subsequently taken away by the army, and Enrique and Rosa, their children, decide to make their way to the United States. They get money to finance the trip from Rosa’s godmother. In Part II Rosa and Enrique travel by bus through Mexico until they get to the border town, Tijuana. They are befriended by a man called Jaime from Zacatecas who offers to take them across the border. However, he attacks them in the forest. They meet up with Raimundo Gutiérrez who agrees to takes them across; he advises them to go through the sewers. While crawling through, they get bitten by rats. In Part III, Raimundo takes them to Lazy Acres Motel where they are provided with a room.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.305
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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.001

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 head0.008
GPT teacher head0.256
Teacher spread0.248 · 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
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
Published2004
Admission routes1
Has abstractyes

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