Paradoxes of Global and Local Development in the Film <i>Verónico Cruz. La deuda interna</i>: A Hybrid Discussion Group in Spanish for Specific Purposes
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".