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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Science Fiction Film & Television
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

26 results · 1 filter active ·
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20082025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
26 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 26 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 26 of 26 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Mad Max: Fury Road (review)
Bonnie McLean
2017· article· en· Science Fiction Film & Television· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
7
citations
aboutno affunlabeled
Techno-butterfly
Eve Bennett
2012· article· en· Science Fiction Film & Television· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
<i>Orphan Black</i> and <i>Extant</i>
Ayana Jamieson
2016· article· en· Science Fiction Film & Television· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
The Cinematic Life of the Gene (review)
Laurel Bollinger
2011· article· en· Science Fiction Film & Television· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Race and world memory in <i>Arrival</i>
David H. Fleming
2020· article· en· Science Fiction Film & Television· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
<i>The Little Mermaid</i> and little Black girls
Asha S. Winfield, Sherella Cupid, Meghan S. Sanders, Teairra Z. Evans, D. Butler, Rockia Harris +1 more
2025· article· en· Science Fiction Film & Television· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A symposium on Mary Shelley, <i>Frankenstein</i> and women in sf
Stacey Abbott, Sarah Artt, Miranda Butler, Megen de Bruin‐Molé, Jane Donawerth, Susan A. George +7 more
2018· article· en· Science Fiction Film & Television· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction
Ewan Kirkland, Aybige Yilmaz
2013· article· en· Science Fiction Film & Television· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Stereo/Crimes of the Future (review)
Stacey Abbott
2008· article· en· Science Fiction Film & Television· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About