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Record W2758391748 · doi:10.5860/crl.79.4.568

Buy, Borrow, or Steal? Film Access for Film Studies Students

2018· article· en· W2758391748 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCollege & Research Libraries · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDeskClass (philosophy)Order (exchange)Government (linguistics)CurriculumAdvertisingBusinessSociologyInternet privacyComputer sciencePolitical scienceLawPedagogy

Abstract

fetched live from OpenAlex

Libraries offer a mix of options to serve the film studies curriculum: streaming video, DVDs on Reserve, and streaming DVDs through online classrooms. Some professors screen films and lend DVDs to students. But how do students obtain the films required for their courses? How would they prefer to do so? These are among the questions explored using data obtained by surveying students at one Canadian university, and faculty and librarians at ten Canadian universities that offer film studies programs. The study finds that more students are engaging in digital piracy than using the Library Reserve desk, and that faculty and librarians must contend with formats, licenses, and copyright in order to provide effective, legal access. The paper recommends that libraries increase streaming options, collect DVDs for preservation, digitize DVDs when legally possible, screen films in class, investigate social screening spaces, and lobby industry and government for changes to law and practice.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0030.007
Open science0.0020.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.332
GPT teacher head0.449
Teacher spread0.117 · 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