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Record W2902342298 · doi:10.5334/kula.22

The Terezita Romo Papers: Capturing the Spirit of Collective Action in Archives

2018· article· en· W2902342298 on OpenAlexvenueno aff
Moriah Ulinskas

Bibliographic record

VenueKULA knowledge creation dissemination and preservation studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsCollective actionImmigrationAction (physics)HistorySociologyVisual artsArt historyArtPolitical scienceLawArchaeologyPolitics

Abstract

fetched live from OpenAlex

This article addresses the Terezita Romo Papers, one of a handful of archival collections of the Royal Chicano Air Force—a large collective of young, mostly immigrant or first-generation Mexican American artists and activists who produced countless community events and art projects and programs in Sacramento, California during the second half of the twentieth century. While membership of the Royal Chicano Air Force (RCAF) and its activities are hard to calculate, its history has been shaped by a tendency towards iconization of the group’s male founders in archival description. Specifically, where collections are described to highlight the unique contributions of individuals, it is difficult to retain and promote the collective voice of action which made so many of these movements successful. Using the papers of Tere Romo, one member of the RCAF, this paper looks at how the archives of the RCAF have tended towards iconization—overshadowing the contributions of its female members—and explores ways in which archivists can reconsider the language of archives when processing and describing materials documenting collective action in American history. A correction article relating to this publication can be found here: http://doi.org/10.5334/kula.62/

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)0.012
metaresearch head score (Gemma)0.030
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 score0.020
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.006
Science and technology studies0.0150.013
Scholarly communication0.0200.011
Open science0.0020.008
Research integrity0.0020.003
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 head0.086
GPT teacher head0.333
Teacher spread0.247 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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