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Record W2899760718 · doi:10.3138/seminar.54.4.004

Refiguring Red Vienna: Alternative Forms of Currency and Community in Michael Riebl’s <i>Planet Ottakring</i>

2018· article· en· W2899760718 on OpenAlexaffvenue
Susan Ingram

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsYork University
Fundersnot available
KeywordsComedyPoliticsCurrencyDepictionRomanceSociologyPolitical economyPolitical scienceLiteratureLawEconomicsArt

Abstract

fetched live from OpenAlex

This article’s focus is Planet Ottakring (dir. Michael Riebl, 2015), a socially aware romantic comedy in which an alternative currency is used to free one of Vienna’s most rapidly gentrifying districts from the clutches of a local loan shark. In establishing Riebl’s film as a stunning, if unusual and underappreciated, critique of the banking industry’s role in the ongoing global financial crisis, the article situates Planet Ottakring as a response to the precarity inherent in neoliberal approaches to home ownership, one that is very much in keeping with the Austro-Marxism that emerged as a reaction to the socio-political and cultural battles that continue to be waged in Vienna’s outer districts. Riebl’s depiction of organized struggle shows how an alternative form of community comes into being, not because the people involved happen to live in the same district but because they share in a communal currency that stands for a shared set of values and provides a sense of belonging, an anticapitalist sense of Heimat.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.014
Scholarly communication0.0090.006
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.060
GPT teacher head0.291
Teacher spread0.231 · 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 designNot applicable
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

Citations2
Published2018
Admission routes2
Has abstractyes

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