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Record W3130414315

Can User Rights Under Section 52 of the Indian Copyright Act be Contractually Waived

2019· article· en· W3130414315 on OpenAlexaboutno aff
Anupriya Dhonchak

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsnot available
Fundersnot available
KeywordsWaiverCopyright ActStatutory lawDoctrineLawPolitical scienceIntellectual propertyCommon lawPosition (finance)Law and economicsBusinessEconomicsCopyright law
DOInot available

Abstract

fetched live from OpenAlex

The note comments on the enforceability of contracts restricting user rights under the Indian Copyright Act, 1957. This topic has not received adequate attention due to our still emerging fair use doctrine and lack of litigation in this regard. This paper gleans the Indian position by analysis of constitutional principles, public policy and case law regarding unfairness in adhesion contracts (where terms and conditions are set by one of the parties, and the other party/parties has little or no ability to negotiate more favourable terms on account of being in a take or leave it position). The note discusses the enforceability of contractual waivers of user rights by delving into the purposes of free speech, copyright and the exceptions to it. It analyses the chilling effects of enforceability of such waivers on free speech in causing a doctrinal creep in the already nascent fair use doctrine in India. It argues that the Indian Copyright Act, 1957 and the cases concerning fair use so far have laid down that the exceptions under Section 52 are not mere excuses for infringement but user rights whose full exercise is a public policy goal. Based on case law on waiver of statutory benefits in India and comparative legal positions in the European Union, U.K., the U.S and Canada, the note concludes that user rights under copyright law are statutory rights based on public interest that cannot be contractually waived off like fundamental rights themselves.

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)0.009
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.010
Scholarly communication0.0130.006
Open science0.0020.003
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0110.004

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 head0.008
GPT teacher head0.195
Teacher spread0.186 · 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 designTheoretical or conceptual
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

Citations0
Published2019
Admission routes1
Has abstractyes

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