MétaCan
Menu
Retour à la cohorte
Enregistrement W4224948655 · doi:10.5204/mcj.2882

No Free Tickets

2022· article· en· W4224948655 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueM/C Journal · 2022
Typearticle
Langueen
DomaineComputer Science
ThématiqueBlockchain Technology Applications and Security
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComputer science

Résumé

récupéré en direct d'OpenAlex

Introduction 2021 was the year that NFTs got big—not just in value but also in terms of the cultural consciousness. When digital artist Beeple sold the portfolio of his 5,000 daily images at Christie’s for US$69 million, the art world was left intrigued, confused, and outraged in equal measure. Depending on who you asked, non-fungible tokens (NFTs) seemed to be either a quick cash-grab or the future of the art market (Bowden and Jones; Smee). Following the Beeple sale, articles started to appear indicating that the film industry was abuzz for NFTs. Independent filmmaker Kevin Smith was quick to announce that he planned to release his horror film Killroy Was Here as an NFT (Alexander); in September 2021 the James Bond film No Time to Die also unveiled a series of collectibles to coincide with the film’s much-delayed theatrical release (Natalee); the distribution and collectible platforms Vuele, NFT Studios, and Mogul Productions all emerged, and the industry rumour mill suggests more start-ups are en route (CurrencyWorks; NFT Studios; NewsBTC). Blockchain disciples say that the technology will solve all the problems of the Internet (Tewari; Norton; European Business Review); critics say it will only perpetuate existing accessibility and equality issues (Davis and Flatow; Klein). Those more circumspect will doubtless sit back until the dust settles, waiting to see what parts of so-called web3 will be genuinely integrated into the architecture of the Internet. Pamela Hutchinson puts it neatly in terms of the arts sector: “the NFT may revolutionise the art market, film funding and distribution. Or it might be an ecological disaster and a financial bubble, in which few actual movies change hands, and fraudsters get rich from other people’s intellectual property” (Hutchinson). There is an uptick in the literature around NFTs and blockchain (see Quiniou; Gayvoronskaya & Meinel); however, the technology remains unregulated and unstandardised (Yeung 212-14; Dimitropoulos 112-13). Similarly, the sheer amount of funding being put into fundamental technical, data, and security-related issues speaks volumes to the nascency of the space (Ossinger; Livni; Gayvoronskaya & Meinel 52-6). Put very briefly, NFTs are part of a given blockchain system; think of them, like cryptocurrency coins, as “units of value” within that system (Roose). NFTs were initially rolled out on Ethereum, though several other blockchains have now implemented their own NFT frameworks. NFTs are usually not the artwork itself, but rather a unique, un-copyable (hence, non-fungible) piece of code that is attached, linked, or connected to another digital file, be that an image, video, text, or something else entirely. NFTs are often referred to as a digital artwork’s “certificate of authenticity” (Roose). At the time of writing, it remains to be seen how widely blockchain and NFT technology will be implemented across the entertainment industries. However, this article aims to outline the current state of implementation in the film trade specifically, and to attempt to sort true potential from the hype. Beginning with an overview of the core issues around blockchain and NFTs as they apply to film properties and adjacent products, current implementations of the technology are outlined, before finishing with a hesitant glimpse into the potential future applications. The Issues and Conversation At the core of current conversations around blockchain are three topics: intellectual property and ownership, concentrations of power and control, and environmental impact. To this I would like to add a consideration of social capital, which I begin with briefly here. Both the film industry and “crypto” — if we take the latter to encompass the various facets of so-called ‘web3’ — are engines of social capital. In the case of cinema, its products are commodified and passed through a model that begins with exclusivity (theatrical release) before progressing to mass availability (home media, streaming). The cinematic object, i.e., an individual copy of a film, is, by virtue of its origins as a mass product of the twentieth century, fungible. The film is captured, copied, stored, distributed, and shared. The film-industrial model has always relied on social phenomena, word of mouth, critical discourse, and latterly on buzz across digital social media platforms. This is perhaps as distinct from fine art, where — at least for dealers — the content of the piece does not necessarily matter so much as verification of ownership and provenance. Similarly, web3, with its decentralised and often-anonymised processes, relies on a kind of social activity, or at least a recorded interaction wherein the chain is stamped and each iteration is updated across the system. Even without the current hype, web3 still relies a great deal on discourse, sharing, and community, particularly as it flattens the existing hierarchies of the Internet that linger from Web 2.0. In terms of NFTs, blockchain systems attach scarcity and uniqueness to digital objects. For now, that scarcity and uniqueness is resulting in financial value, though as Jonathan Beller argues the notion of value could — or perhaps should — be reconsidered as blockchain technology, and especially cryptocurrencies, evolve (Beller 217). Regardless, NFT advocates maintain that this is the future of all online activity. To questions of copyright, the structures of blockchain do permit some level of certainty around where a given piece of intellectual property emerged. This is particularly useful where there are transnational differences in recognition of copyright law, such as in France, for instance (Quiniou 112-13). The Berne Convention stipulates that “the subsistence of copyright does not rest on the compliance with formal requirements: rights will exist if the work meets the requirements for protection set out by national law and treaties” (Guadamuz 1373). However, there are still no legal structures underpinning even the most transparent of transactions, when an originator goes out of their way to transfer rights to the buyer of the accompanying NFT. The minimum requirement — even courtesy — for the assignment of rights is the identification of the work itself; as Guadamuz notes, this is tricky for NFTs as they are written in code (1374). The blockchain’s openness and transparency are its key benefits, but until the code can explicitly include (or concretely and permanently reference) the ‘content’ of an NFT, its utility as a system of ownership is questionable. Decentralisation, too, is raised consistently as a key positive characteristic of blockchain technology. Despite the energy required for this decentralisation (addressed shortly), it is true that, at least in its base code, blockchain is a technology with no centralised source of truth or verification. Instead, such verification is performed by every node on the chain. On the surface, for the film industry, this might mean modes of financing, rights management, and distribution chains that are not beholden to multinational media conglomerates, streamers like Netflix, niche intermediaries, or legacy studios. The result here would be a flattening of the terrain: breaking down studio and corporate gatekeeping in favour of a more democratised creative landscape. Creators and creative teams would work peer-to-peer, paying, contracting, servicing, and distribution via the blockchain, with iron-clad, publicly accessible tracking of transactions and ownership. The alternative, though, is that the same imbalances persist, just in a different form: this is outlined in the next section. As Hunter Vaughan writes, the film industry’s environmental impact has long been under-examined. Its practices are diverse, distributed, and hard to quantify. Cinematic images, Vaughan writes, “do not come from nothing, and they do not vanish into the air: they have always been generated by the earth and sun, by fossil fuels and chemical reactions, and our enjoyment of them has material consequences” (3). We believe that by watching a “green” film like Avatar we are doing good, but it implicates us in the dirty secret, an issue of “ignorance and of voluntary psychosis” where “we do not see who we are harming or how these practices are affecting the environment, and we routinely agree to accept the virtual as real” (5). Beyond questions of implication and eco-material conceptualisation, however, there are stark facts. In the 1920s, the Kodak Park Plant in New York drew 12 million gallons of water from Lake Ontario each day to produce film stock. As the twentieth century came to a close, this amount — for a single film plant — had grown to 35-53 million gallons per day. The waste water was perfunctorily “cleaned” and then dumped into surrounding rivers (72-3). This was just one plant, and one part of the filmmaking process. With the shift to digital, this cost might now be calculated in the extraction of precious metals used to make contemporary cameras, computers, or storage devices. Regardless, extrapolate outwards to a global film industry and one quickly realises the impact is almost beyond comprehension. Considering — let alone calculating — the carbon footprint of blockchain requires outlining some fundamentals of the technology. The two primary architectures of blockchain are Proof of Work (PoW) and Proof of Stake (PoS), both of which denote methods of adding and verifying new blocks to a chain. PoW was the first model, employed by Bitcoin and the first iteration of Ethereum. In a PoW model, each new block has a specific cryptographic hash. To confirm the new block, crypto miners use their systems to generate a target hash that is less than or equal to that of the block. The systems process these calculations quickly, as the goal is to be “the first miner with the target hash because that miner is the one who can update the blockchain and receive crypto rewards” (Daly). The race for

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,847
Score d'incertitude au seuil0,516

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0020,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,217
Écart entre enseignants0,208 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle