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Record W3048930413 · doi:10.3968/11772

A Study on the Copyright Law of Live Game Streaming

2020· article· en· W3048930413 on OpenAlexvenueno aff
Zijia Liu, Bo Feng, Junwen Feng

Bibliographic record

VenueCanadian social science · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicCultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLive streamingPermissionIntellectual propertyGame DeveloperWork (physics)OriginalityComputer scienceVideo game developmentCopyright lawCopyright infringementVideo gameInternet privacyMultimediaGame designLawPolitical science

Abstract

fetched live from OpenAlex

The growing development of live game streaming industry has given birth to a new industry and brought huge benefits. However, live game streaming is still facing many unresolved intellectual property rights problems. First of all, this paper believes that the game pictures meet the conditions of originality, reproducibility and photography works belonging to the type of work, which can constitute the work in copyright law. The copyright of the work belongs to the game company or the producer, and the live streaming of the game without permission constitutes infringement. Whether the live streaming of the game under different circumstances constitutes fair use needs to use the three-step test method to analyze according to the situation.

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)0.008
metaresearch head score (Gemma)0.029
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 score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.018
Scholarly communication0.0070.009
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.095
GPT teacher head0.237
Teacher spread0.142 · 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
Published2020
Admission routes1
Has abstractyes

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