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Contextual safeguarding and case management systems: emerging lessons from across the Contextual Safeguarding programme [PDF]

open access: yes, 2020
This briefing summarises emerging lessons for the designers and users of case management systems in children’s services with an interest in Contextual Safeguarding; all information shared in this briefing is taken from the Contextual Safeguarding ...
Firmin, Carlene
core   +4 more sources

Contextual Fraction as a Measure of Contextuality [PDF]

open access: yesPhysical Review Letters, 2017
We consider the contextual fraction as a quantitative measure of contextuality of empirical models, i.e. tables of probabilities of measurement outcomes in an experimental scenario. It provides a general way to compare the degree of contextuality across measurement scenarios; it bears a precise relationship to violations of Bell inequalities; its value,
Abramsky, Samson   +2 more
openaire   +4 more sources

Implementation of Contextual Learning Based on Lesson Study Model [PDF]

open access: yes, 2020
This study aims to improve student achievement and activities in library management courses at the elementary teacher education study program. As practical learning, contextual learning will be implemented involving activities of surveys and practicum ...
Rini, Titis Angga
core   +1 more source

Measures of contextuality and non-contextuality [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2019
We discuss three measures of the degree of contextuality in contextual systems of dichotomous random variables. These measures are developed within the framework of the Contextuality-by-Default (CbD) theory, and apply to inconsistently connected systems (those with ‘disturbance’ allowed).
Janne V. Kujala, Ehtibar N. Dzhafarov
openaire   +3 more sources

Quantifying Contextuality [PDF]

open access: yesPhysical Review Letters, 2014
Contextuality is central to both the foundations of quantum theory and to the novel information processing tasks. Although it was recognized before Bell's nonlocality, despite some recent proposals, it still faces a fundamental problem: how to quantify its presence? In this work, we provide a framework for quantifying contextuality.
A. Grudka   +7 more
openaire   +3 more sources

Contextualizing ontologies [PDF]

open access: yesJournal of Web Semantics, 2004
Ontologies are shared models of a domain that encode a view which is common to a set of different parties. Contexts are local models that encode a party's subjective view of a domain. In this paper we show how ontologies can be contextualized, thus acquiring certain useful properties that a pure shared approach cannot provide.
Paolo Bouquet   +4 more
openaire   +3 more sources

The logic of contextuality

open access: yesCoRR, 2020
18 pages, to appear in Proceedings of 29th EACSL Annual Conference on Computer Science Logic (CSL 2021)
Samson Abramsky, Rui Soares Barbosa
openaire   +4 more sources

Daily-Life Social Experiences as a Potential Mediator of the Relationship Between Parenting and Psychopathology in Adolescence

open access: yesFrontiers in Psychiatry, 2021
Adolescence is a vulnerable period for psychopathology development, and certain parenting styles are consistent and robust predictors of a broad range of mental health outcomes.
Robin Achterhof   +11 more
doaj   +1 more source

A review of stress management interventions for the oncology nursing workforce: What do we know and what should we be doing differently?

open access: yesHealth Psychology Report, 2020
Oncology nurses are at risk of chronic stress. In this narrative review we provide an overview of stress man-agement intervention studies for oncology nurses, and suggest that Acceptance and Commitment Thera-py/Training (ACT) provides a better ...
William Kent   +2 more
doaj   +1 more source

Linguistic Knowledge and Transferability of Contextual Representations [PDF]

open access: yesNorth American Chapter of the Association for Computational Linguistics, 2019
Contextual word representations derived from large-scale neural language models are successful across a diverse set of NLP tasks, suggesting that they encode useful and transferable features of language.
Nelson F. Liu   +4 more
semanticscholar   +1 more source

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