Get Peace of Mind with Do-It-Yourself Living Wills: The Digitalisation of Medical-Legal Practice and the New Post-Covid 19 Approach
Notice bibliographique
Résumé
“The automatisation of the core tasks performed by legal practitioners […] is an ongoing and open-ended process” (Schäfke-Zell & Asmussen, 2019, p. 65). “A host of innovative legal-tech companies have entered the market of legal service providers, presently challenging the lawyers’ monopoly over the practice of the law, and ultimately, altering the mode of production in the legal field” (Caserta, 2020, p. 1). Beginning with these assumptions, this study draws on ongoing research on healthcare powers of attorney, living wills, and advance directives (Giordano, 2019, 2021) and will explore the current radical changes and restructuring of modalities of production in medical-legal documents and in the delivery of legal services. The legal websites in the corpus under investigation provide guidance in creating a personal living will according to well-established legal procedures that are pursuant to the laws and regulations of a particular state or country. Living wills and advance directives are signed documents in which the declarants state whether or not they wish to be kept alive using artificial means in the event a doctor declares their death to be imminent. Doctors and medical practitioners are legally bound to follow these directives. Following the increased digitalization of the legal field, these documents are now frequently drafted and completed online, thus embracing the full potential of the new technologies available today. Both verbal and visual rhetoric (Murray, 2014; Sherwin, Feigenson, & Spiesel, 2005) will be investigated to ascertain whether and to what extent digital transformation is redefining the ways in which this legal service is offered, thus promoting greater understanding and wider knowledge of a controversial issue such as making decisions regarding one’s end of life and the choices available among various life-prolonging measures and treatments. The research aims to determine whether the new digital genres can help translate the specific constraints and demands of legal argumentation into new popular, cultural and technological discourse which better appeals to peoples’ emotions and values. The legal sector’s increasing use of digital forms and templates embellished with visual and multimedia content may at once have a commodifying and democratizing effect. Legal meanings and services in the new legal market (Schäfke-Zell & Asmussen, 2019, p. 66) might be better understood and internalized, thus reinforcing and disseminating the emerging vernacular of digital culture along with law, regulations and legal institutes and instruments, which would otherwise be difficult for a layperson to comprehend or accept (Anesa, 2016; Calsamiglia, 2003; Calsamiglia & van Dijk, 2004). In addition to this process of democratization of new media, the Coronavirus pandemic also contributed to changing people’s approach to life (Garzone, 2023) and to living wills, triggered by an increased sense of precariousness of life and imminence of death. English-speaking countries, in particular, have seen a surge in people updating and altering advance directives as a result of the complications caused by the disease; different steps might be taken now, when current documents may be dangerously inadequate. The best ways to update existing texts to the new post-Covid 19 conditions therefore call for thorough investigation.
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,011 | 0,062 |
| Communication savante | 0,020 | 0,030 |
| Science ouverte | 0,002 | 0,017 |
| Intégrité de la recherche | 0,006 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».