1,807 research outputs found
Das Trajektkonzept
No full textCorbin J, Hildenbrand B, Schaeffer D. Das Trajektkonzept. In: Doris S, ed. Bewältigung chronischer Krankheit im Lebenslauf. 2009: 55-74
The good parodist: beyond images of escape in the fiction of Doris lessing
Full text linkIn her earlier fiction, Doris Leasing presents images of escape from what Cohen and Taylor term "everyday life”. These images of escape, such as the vision of the "noble city, set four-square" in Martha Quest and Martha's plunge into the muddy veld pothole in A Proper Marriage, are framed by realism. In positing an escape from 'realism'(understood as both literary form and "everyday reality") they suggest the inadequacy of realism. However, the success of these images is limited as they attempt to posit an "outside", a project which postmodernism has taught us, is bound to fail. Lessing increasingly replaces these images of escape with parody. Parody more fundamentally interrogates realism and allows Lessing to negotiate an escape whilst recognizing her implication in contemporary society. My model of parody takes its lead from Linda Hutcheon's consideration of "serious parody", as marking "the intersection of creation and re-creation, of invention and critique" (A Theory of Parody, 1985). This, I argue, is the intersection of Lessing's political and aesthetic projects. Lessing's use of parody also provides her with a useful strategy for negotiating subjectivity. I argue that whilst she questions the liberal humanist self, she does not completely reject it. She is "post-humanist" rather than "anti-humanist". Lessing's "space fiction" seems to signal a return to the project of positing an "outside" implied by her images of escape. However, I illustrate how her space fiction is equally subject to the problematic politics of parody. Just as parody "installs" a pre-existing text to "subvert" it, so space fiction "installs" the Earth in order to critique it. The "dual-codedness" of parody is, I conclude, perfect for Lessing's multiple projects
Schaeffer, D./Griese, L. Professionelle Gesundheitskompetenz – eine Herausforderung für Ärztinnen und Ärzte?
No full textGriese L, Schaeffer D. Schaeffer, D./Griese, L. Professionelle Gesundheitskompetenz – eine Herausforderung für Ärztinnen und Ärzte? Ärzte Zeitung. 12.12.2024;50(24)
sj-doc-1-chi-10.1177_17423953211073368 - Supplemental material for Navigational health literacy among people with chronic illness
No full textSupplemental material, sj-doc-1-chi-10.1177_17423953211073368 for Navigational health literacy among people with chronic illness by Lennert Griese, Doris Schaeffer and Eva-Maria Berens in Chronic Illness</p
Bewältigung chronischer Krankheit im Lebenslauf - Einleitung
No full textSchaeffer D. Bewältigung chronischer Krankheit im Lebenslauf - Einleitung. In: Schaeffer D, ed. Bewältigung chronischer Krankheit im Lebenslauf. Bern: Huber; 2009: 7-12
Bewältigung chronischer Erkrankung - Status Quo der Theoriediskussion
No full textSchaeffer D. Bewältigung chronischer Erkrankung - Status Quo der Theoriediskussion. In: Schaeffer D, ed. Bewältigung chronischer Krankheit im Lebenslauf. 2009: 15-51
DORIS-MAE-v1
No full textIn scientific research, the ability to effectively retrieve relevant documents based on complex, multifaceted queries is critical. Existing evaluation datasets for this task are limited, primarily due to the high costs and effort required to annotate resources that effectively represent complex queries. To address this, we propose a novel task, Scientific DOcument Retrieval using Multi-level Aspect-based quEries (DORIS-MAE), which is designed to handle the complex nature of user queries in scientific research.
Documentations for the DORIS-MAE dataset is publicly available at https://github.com/Real-Doris-Mae/Doris-Mae-Dataset. This upload contains both DORIS-MAE dataset version 1 and ada-002 vector embeddings for all queries and related abstracts (used in candidate pool creation). DORIS-MAE dataset version 1 is comprised of four main sub-datasets, each serving distinct purposes.
The Query dataset contains 100 human-crafted complex queries spanning across five categories: ML, NLP, CV, AI, and Composite. Each category has 20 associated queries. Queries are broken down into aspects (ranging from 3 to 9 per query) and sub-aspects (from 0 to 6 per aspect, with 0 signifying no further breakdown required). For each query, a corresponding candidate pool of relevant paper abstracts, ranging from 99 to 138, is provided.
The Corpus dataset is composed of 363,133 abstracts from computer science papers, published between 2011-2021, and sourced from arXiv. Each entry includes title, original abstract, URL, primary and secondary categories, as well as citation information retrieved from Semantic Scholar. A masked version of each abstract is also provided, facilitating the automated creation of queries.
The Annotation dataset includes generated annotations for all 165,144 question pairs, each comprising an aspect/sub-aspect and a corresponding paper abstract from the query's candidate pool. It includes the original text generated by ChatGPT (version chatgpt-3.5-turbo-0301) explaining its decision-making process, along with a three-level relevance score (e.g., 0,1,2) representing ChatGPT's final decision.
Finally, the Test Set dataset contains human annotations for a random selection of 250 question pairs used in hypothesis testing. It includes each of the three human annotators' final decisions, recorded as a three-level relevance score (e.g., 0,1,2).
The file "ada_embedding_for_DORIS-MAE_v1.pickle" contains text embeddings for the DORIS-MAE dataset, generated by OpenAI's ada-002 model. The structure of the file is as follows:
├── ada_embedding_for_DORIS-MAE_v1.pickle
├── "Query"
│ ├── query_id_1 (Embedding of query_1)
│ ├── query_id_2 (Embedding of query_2)
│ └── query_id_3 (Embedding of query_3)
│ .
│ .
│ .
└── "Corpus"
├── corpus_id_1 (Embedding of abstract_1)
├── corpus_id_2 (Embedding of abstract_2)
└── corpus_id_3 (Embedding of abstract_3)
.
.
.The DORIS-MAE dataset is contained in a paper submitted to NeurIPS 2023 Dataset Track for review. Please refer to benchmarking details in the GitHub link: https://github.com/Real-Doris-Mae/Doris-Mae-Dataset. Author information will be made available shortly
Pflegetheorien
No full textMoers M, Schaeffer D. Pflegetheorien. In: Schaeffer D, Wingenfeld K, eds. Handbuch Pflegewissenschaft. Studienausgabe. Weinheim: Beltz Juventa; 2014: 37-66
Pflegeforschung: aktuelle Entwicklungstendenzen und -herausforderungen
No full textSchaeffer D. Pflegeforschung: aktuelle Entwicklungstendenzen und -herausforderungen. Pflege & Gesellschaft. 2002;7(3):73-79
Care-Management. Pflegewissenschaftliche Überlegungen zu einem aktuellen Thema
No full textSchaeffer D. Care-Management. Pflegewissenschaftliche Überlegungen zu einem aktuellen Thema. Pflege. 2000;13(1):17-26
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