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Record W4311681008 · doi:10.22215/etd/2022-15175

Queer Geographies of 1970s Barcelona: Mapping the City in Transition through Image and Oral History

2022· dissertation· en· W4311681008 on OpenAlexaff
Ona Bantjes-Ràfols

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsCarleton University
Fundersnot available
KeywordsQueerLesbianDictatorshipPoliticsIdentity (music)Gender studiesOral historyDemocracyTransition (genetics)Space (punctuation)State (computer science)Political scienceSociologyGeographyAestheticsAnthropologyArtLaw

Abstract

fetched live from OpenAlex

Space was a central concern in 1970s Barcelona, both for the Francoist dictatorship trying to maintain control of the city as well as for the gay, lesbian, and trans activists defying the repression of the regime. How to occupy space was a source of heated debate among these activists as a political transition to democracy was sought with uneven success in the Spanish State. This thesis analyzes photographs of marches and oral history interviews to argue that space was crucial in creating solidarities and delineations within and among identity categories. This analysis looks beyond commercial sites to investigate the relationships between spaces to demonstrate that it was through an engagement with the spatial politics of Barcelona and its geography in the Transition* period that lesbian, gay, and trans individuals articulated their political and personal identities.

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)0.001
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 score0.384
Threshold uncertainty score0.763

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.003
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.050
GPT teacher head0.317
Teacher spread0.267 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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