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Record W2209222503 · doi:10.1525/fq.2015.68.3.87

Historian Cara Caddoo Discusses Envisioning Freedom: Cinema and the Building of Modern Black Life

2015· article· en· W2209222503 on OpenAlex
Regina Márcia Longo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFilm Quarterly · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsASTER
Fundersnot available
KeywordsIconMovie theaterCitationDownloadArt historyArtComputer scienceVisual artsWorld Wide Web

Abstract

fetched live from OpenAlex

Research Article| March 01 2015 Historian Cara Caddoo Discusses Envisioning Freedom: Cinema and the Building of Modern Black Life BOOK DATA: Cara Caddoo, Envisioning Freedom: Cinema and the Building of Modern Black Life. Cambridge, MA: Harvard University Press, 2014. Hardcover, 304 pages, $35. Regina Longo Regina Longo Search for other works by this author on: This Site PubMed Google Scholar NOTE: “Colored Theaters in the Jim Crow City” (Chapter 3 of Caddoo's book) recounts the advent of the first colored moving picture and vaudeville theater in Louisville, Kentucky, in 1908. Film Quarterly readers can access this chapter online at www.filmquarterly.org/category/pageviews/. Film Quarterly (2015) 68 (3): 87–90. https://doi.org/10.1525/fq.2015.68.3.87 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Regina Longo; Historian Cara Caddoo Discusses Envisioning Freedom: Cinema and the Building of Modern Black Life. Film Quarterly 1 March 2015; 68 (3): 87–90. doi: https://doi.org/10.1525/fq.2015.68.3.87 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentFilm Quarterly Search This content is only available via PDF. © 2015 by The Regents of the University of California. All rights reserved. Please direct all requests for permission to photocopy or reproduce article content through the University of California Press's Rights and Permissions website, http://www.ucpressjournals.com/reprintinfo.asp.2015 Article PDF first page preview Close Modal You do not currently have access to this content.

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.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.030
GPT teacher head0.220
Teacher spread0.189 · 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