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Record W2790795400

The practical difficulties of applying current trade mark law, actions for passing off and copyright law to literary fictional characters per se, independent of the original work

2017· dissertation· en· W2790795400 on OpenAlexaboutno aff
Tamara Bukatz

Bibliographic record

VenueBangor University Research Portal (Bangor University) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicIntellectual Property Law
Canadian institutionsnot available
Fundersnot available
KeywordsAmateurLawNarrativeAdvertisingSociologyBusinessArtPolitical scienceLiterature
DOInot available

Abstract

fetched live from OpenAlex

Fictional characters have a gigantic commercial and social appeal. Fans create fanfiction and other transformative works. Professionals create films, plays and artwork or literary, musical, and other works based on the underlying work by another author. These professionals as well as third parties are involved in character merchandising. Disney reported a revenue of USD 45.2 billion just for retail sales of worldwide licensed products in 2014. \nThe appeal of fictional characters is not limited to artistic fictional characters (AFCs), but also encompasses literary fictional characters (LFCs), such as ‘Harry Potter’ and ’The Doctor’. \nThe plot-independent protection of LFCs is more challenging than AFCs, because of their representation in words instead of images. Non-graphic representation inevitably leaves more to the imagination of the reader. Regardless, authors’ interests in their LFCs are worth protecting. \nCopyright is more appropriate than trade mark law and actions for passing off when it comes to the protection of authors against unauthorized exploitation of LFCs per se for new professional literary and other works, fanfiction, mash-ups or other transformative works by amateur content creators, as well as unauthorized character merchandise. Copyright vests in the author automatically. No formalities are required. No cost is involved. Moreover, under copyright law LFCs would benefit from a set of moral rights, which could protect the LFC per se i.a. against unsavoury distortion or attribution to another than its creator. \nTrade mark law is ill equipped for the protection of LFCs, i.a. because names of LFCs are often devoid of distinctiveness and are descriptive of posters, notebooks, and similar products which feature the characters. \nPassing off actions are also suboptimal. Like trade marks, an action for passing off is also trader orientated instead of author orientated. This leads to an imbalance favouring whoever fulfils the criteria for a claim that the tort passing off has been committed. Thus, even a free-riding trader can claim protection against the author who actually created the LFC. \nHowever, in order to accommodate copyrightability of LFCs per se, a combination of judicial re-interpretation and changes to the Copyright, Designs and Patents Act 1988 are required. These are set out in this thesis. The effect of the ‘new‘ originality standard (‘the author’s own intellectual creation‘) on LFC copyrightability shall be discussed as well. \nBoth foreign common law jurisdictions (namely Canada and the USA) as well as civil law jurisdictions (namely Germany and France) provide insights into the protection of LFCs by copyright. Each country has its own strong points to offer: In Canada, LFCs are copyrightable, if they are distinct and recognized by the public. Moreover, an exception concerning user-generated content, which affects fanfiction, was introduced into the Canadian Copyright Act 1985 by the Copyright Modernization Act 2012. In the USA, LFCs have been protected since 1930 and two tests have been developed to judge LFC copyrightability. In Germany, quite a number of copyright cases concerning LFCs, in particular with regard to character merchandising, have been decided. Even the Supreme Court held that LFCs can attract copyright. In France, LFCs can enjoy copyright protection even after the economic rights have expired, because the moral rights last indefinitely. \nIn addition to critically evaluating how LFCs could be protected by copyright plot-independently, this thesis also considers how further legal certainty could be provided for parties intending to reuse existing LFCs. In this regard, this thesis looks i.a. into the viability of an extension of PLSclear in collaboration with the Copyright Hub to licensing of LFCs via this system.

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)0.072
metaresearch head score (Gemma)0.171
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: Other · Consensus signal: Other
Teacher disagreement score0.072
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0720.171
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0120.058
Scholarly communication0.0350.037
Open science0.0090.013
Research integrity0.0250.031
Insufficient payload (model declined to judge)0.0200.015

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 head0.105
GPT teacher head0.376
Teacher spread0.271 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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