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Record W3199833443 · doi:10.1353/hpn.2021.0094

Paradoxes of Global and Local Development in the Film Verónico Cruz. La deuda interna: A Hybrid Discussion Group in Spanish for Specific Purposes

2021· article· en· W3199833443 on OpenAlexaboutno aff
Ana María Fernández

Bibliographic record

VenueHispania · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American socio-political dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationMovie theaterNarrativeSociologyContext (archaeology)InequalityLatin AmericansPovertyHumanitiesNeoliberalism (international relations)Political scienceSocial scienceArt historyHistoryArtLiteratureLaw

Abstract

fetched live from OpenAlex

The detrimental effects of neoliberalism accompany globalization. The paradoxes generated by the global-regional gap have revealed local cultures’ double vulnerability to national and international development. Miguel Pereira fictionalizes this complex phenomenon in the film Verónico Cruz. La deuda interna (Argentina, 1988). Inspired by the autobiographical narrative of Fortunato Ramos, a rural teacher and artist, the film denounces the sociohistorical and economic inequality suffered by the Qulla culture in Jujuy. In the context of Latin American studies, rooted in Pereira’s fiction, we propose a non-credit hybrid workshop in advanced Spanish for Specific Purposes (SSP) at the University of Ottawa, which was also presented at the II JEFE-Vi Conference, Vienna University of Economics and Business–WU, 2019. This 16-hour discussion group is based on Michael S. Doyle and Bruce Fryer’s studies, and it implements some principles of andragogy (Knowles) and suggestopedy (Lozanov). Through the themes explored (necessity, consumer needs, the vicious circle of poverty, globalization, technology), it aims to sensitize participants to the global economic development and its impact on the fragile Qulla culture in Jujuy, Argentina. To facilitate participants’ examination of social inequality, it applies the neologism minori’ethage. Students’ self-assessment process is based on the entries in their learning contracts and diaries, as well as their in-class and online participation.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.008
Scholarly communication0.0060.002
Open science0.0020.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.289
Teacher spread0.276 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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