MétaCan
Menu
Back to cohort
Record W3181227601

Altmetric Articles Shame and Eviction in Juan Miguel del Castillo’s Techo y comida (2015)

2021· article· en· W3181227601 on OpenAlexaboutno aff
Katie Salmon

Bibliographic record

VenueBulletin of Spanish Visual Studies · 2021
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsShameEvictionAusterityEconomic historyPolitical scienceSociologyHistoryLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

In 2014, Spain’s then prime minister Mariano Rajoy declared: ‘La crisis ya es historia’. This proclamation of recovery was based solely on macro-economic indicators and reinforced a flawed hegemonic narrative equating progress with economic growth. It ignored what Labrador Mendez calls ‘historias de vida subprime’: subjective and affective accounts of the enduring eviction crisis triggered by the 2008 financial meltdown and strict austerity measures. Juan Miguel del Castillo’s film Techo y comida is one such ‘subprime’ life story. It follows Rocio, a young, unemployed, single mother facing eviction from her rental property in the absence of state or community support. Exposing the flipside to the Rajoy’s statistics, the film reveals the increasingly brutal ‘expulsions’ (Sassen) that facilitate GDP recuperation. It politicizes through affect, showing that shame functions as a mechanism for social exclusion and normalisation but also as a catalyst for altruism. Within the diegesis, Del Castillo uncovers the potent, subjective shame that conceals expulsions and allows them to proliferate. This concurrently engenders shame in the spectator, encouraging them to consider their part in sustaining these degrading processes at micro-level and pointing them towards ‘non-capitalist practices’ (Castells et al).

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.260
GPT teacher head0.473
Teacher spread0.213 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Explore more

Same venueBulletin of Spanish Visual StudiesSame topicMental Health and Patient InvolvementFrench-language works237,207