Does Semantics Need Normativity? Comments on Allan Gibbard,Meaning and Normativity

In the book Gibbard proposes, first, that statements about meaning are normative statements and, second, that they can be given an expressivist treatment, along the lines of Gibbard’s preferred metaethics. In my paper, I examine the first step: The claim that meaning statements are to be construed as being normative, as involving ‘oughts’. Gibbard distinguishes two versions of the normativity of meaning thesis – a weak version, according to which every means implies an ought, and a strong version, according to which for every means, there is an ought that implies it. I argue that neither thesis withstands scrutiny. The weak thesis depends on assumptions about the notion of semantic correctness that the anti-normativist rejects, and the strong thesis does not solve the problems Gibbard wants it to solve: the problems of indeterminacy and meaning skepticism. I conclude that semantics does not need normativity.     

Interactions entre règles sociales de santé publique : étude des liens entre le port du masque et les règles routières en temps de crise sanitaire

IntroductionThe health crisis that France has experienced since the beginning of 2020 has justified the introduction of new health rules requiring changes in behaviour. The context of the implementation of these health rules, instituted very recently and for a limited period of time, raises the question of their perception and respect among the population.ObjectiveMobilising the social developmental psychology, the objective of this article is to explore inter-individual differences in the perception of these health rules measured through the wearing of masks. It aims also at studying the links between these perceptions with the experience of the health context and the perception of other legal public health rules, apprehended through some road safety rules.MethodThe questionnaire survey, carried out during the second confinement with a representative sample of 4999 people, made it possible to measure the experience of the health context, the internalisation of the rules and their justifications, the usefulness of the rules and the perception of the legal system.ResultsThe results show the links between internalisation, the type of arguments used to justify it for wearing a mask and for road rules respectively, as well as the links between internalisation and the perception of the legal system. They also show that women use moral and prudential arguments more to justify their internalisation of rules and that they have internalised the traffic rules (but not the wearing of masks) more than men.ConclusionThese results show that the perception of the rule of wearing a mask is more related to the general perception that individuals have of the legal system and other legal public health rules involving the relationship with others than to the context in which these rules were put in place.     

How is the visual working memory load of driver influenced by information density of traffic signs?

The rapid development of urban roads has resulted in an increase in the amount of information that needs to be displayed on traffic signs. The overloading of information on traffic signs may increase drivers’ visual cognition burden and cause driving errors. It could be an important factor affecting driving safety and result in accidents. To enable drivers to cognize traffic signs, the information density that they could endure under reasonable workload levels should be determined. In this study, we designed and implemented trials to analyze drivers’ visual working memory load (VWML) caused by different information densities (including stimulus intensity (SI) and interval time of stimulus (IS)) of traffic signs. Twenty-four paid participants (12 females) with a mean age of 23.38 years (SD = 1.38) participated in laboratory simulation trials based on the memory retrieval approach. Subjective ratings (rating scale mental effort (RSME)), and performance measurement based on reaction time and accuracy of information-matching task were measured to reflect drivers’ VWML at different information densities. The results show that information density is an important factor affecting drivers’ VWML. The following are the significant observations of the study: (1) The subjective ratings on mental effort increased with increase in the SI. Meanwhile, it first decreased and then increased with increase in the IS. (2) The response accuracy results show that a high accuracy (≥0.7) was achieved by drivers in an IS of 15 s when the SI was at most 14.16 bit/m². Correspondingly, the drivers underwent less mental workload as a result of their better short-term memory characteristic. (3) The mean reaction time was over 1800 ms when the SI was over 14.16 bit/m². This indicated a reduction in the information-processing capability of the drivers. The results indicate that cognition of information of unreasonable density on traffic signs would increase drivers’ VWML. This would, in turn, result in an increase in their reaction time and decrease in accuracy. The threshold of information density was also determined through the experiment. It would satisfy the information demand of drivers and prevent information redundancy. The results contribute to an understanding of drivers’ VWML while cognizing traffic signs with different information densities and provide safety, effectiveness, and information continuity considerations for the design and setting of traffic signs.     

Cyclists’ handheld phone use and traffic rule knowledge

Phone use is likely to distract cyclists and possibly increase crash risk. Therefore, handheld phone use among cyclists is forbidden by law in some countries, even though cyclists use compensatory strategies to attempt to mitigate distractions and related effects. Both demographic, environmental, and psychological factors have been associated with cyclists’ phone use. This study extends the existing literature by including traffic rule beliefs as an explanatory measure in predicting cyclists’ handheld phone use and additionally explores how well cyclists know these rules in different legislative contexts. Online questionnaire responses were collected in 2019 among 1055 cyclists living in Denmark (N = 568), where handheld phone use for cyclists was forbidden, and in the Netherlands (N = 487), where it was legal. Responses on phone use, traffic rule knowledge, cycling behaviour, demographic, and psychological measures were used to identify factors contributing to the likelihood of handheld phone use in three regression models; one for all respondents and one for each country. In the combined model, believing there are no rules on handheld phone use increased the likelihood of handheld phone use while cycling. Other significant factors were subjective norm, perceived behavioural difficulty, self-identity as a safe cyclist as well as demographic factors. The country-specific models found that male gender was only associated with more handheld phone use in the Netherlands, while believing there was no ban was only connected to an increase in the likelihood of using handheld phone in Denmark. Correct traffic rule knowledge was almost three times higher in Denmark, where handheld phone use was forbidden. The results identify subjective norms, potential overconfidence, and traffic rule awareness (when there is a ban) as relevant factors in reducing the likelihood of cyclists’ handheld phone use. Findings from country-specific models possibly point to a connection between culture and traffic rules. Future research should focus on underlying mechanisms and awareness of traffic rules.     

How do the recognizability and driving styles of automated vehicles affect human drivers’ gap acceptance at T- Intersections?

Future traffic will be composed of both human-driven vehicles (HDVs) and automated vehicles (AVs). To accurately predict the performance of mixed traffic, an important aspect is describing HDV behavior when interacting with AVs. A few exploratory studies show that HDVs change their behavior when interacting with AVs, being influenced by factors such as recognizability and driving style of AVs. Unsignalized priority intersections can significantly affect traffic flow efficiency and safety of the road network. To understand HDV behavior in mixed traffic at unsignalized priority T-intersections, a driving simulator experiment was set up in which 95 drivers took part in it. The route in the driving simulator included three T-intersections where the drivers had to give priority to traffic on the major road. The participants drove different scenarios which varied in whether the AVs were recognizable or not, and in their driving style (Aggressive or Defensive). The results showed that in mixed traffic having recognizable aggressive AVs, drivers accepted significantly larger gaps (and had larger critical gaps) when merging in front of AVs as compared to mixed traffic having either recognizable defensive AVs or recognizable mixed AVs (composed of both aggressive and defensive). This was not the case when merging in front of an HDV in the same scenarios. Drivers had significantly smaller critical gaps when driving in traffic having non-recognizable aggressive AVs compared to non-recognizable defensive AVs. The findings suggest that human drivers change their gap acceptance behavior in mixed traffic depending on the combined effect of recognizability and driving style of AVs, including accepting shorter gaps in front of non-recognizable aggressive AVs and changing their original driving behavior. This could have implications for traffic efficiency and safety at such priority intersections. Decision makers must carefully consider such behavioral adaptations before implementing any policy changes related to AVs and the infrastructure.     

Illness representations in patients with multimorbid long-term conditions: Qualitative study

Most research on illness representations explores how patients view single conditions, but many patients report more than one long-term condition (known as multimorbidity). It is not known how multimorbidity impacts on patient illness representations. This exploratory qualitative study examined patients’ representations of multimorbid long-term conditions and sought to assess how models of illness representation might need modification in the presence of multimorbidity. We explored two major issues: (1) the impact of multimorbidity on patient representations of their individual conditions and (2) the representation of multimorbidity itself. Twenty eight adults with at least two long-term conditions (mean of 4) were interviewed. The presence of multimorbidity impacted on patient illness representations in relation to the dimensions of identity, perceived cause, coherence and consequences. Representations of multimorbidity itself concerned representations of the burden of medication and perceived priorities among conditions and synergies and antagonisms between conditions and their management. The results have implications for the measurement of multimorbidity (through scales such as the Illness Perception Questionnaire) and the use of illness representations in the design and delivery of interventions to improve health behaviour and outcomes of patients with multiple long-term conditions.     

Detail-oriented cognitive style and social communicative deficits,within and beyond the autism spectrum: Independent traits that grow into developmental interdependence

At the heart of debates over underlying causes of autism is the “Kanner hypothesis” that autistic deficits in social reciprocity, and a cognitive/perceptual ‘style’ favouring detail-oriented cognition, co-vary in autistic individuals. A separate line of work indicates these two domains are normally distributed throughout the population, with autism representing an extremity. This realisation brings the Kanner debate into the realm of normative co-variation, providing more ways to test the hypothesis, and insights into typical development; for instance, in the context of normative functioning, the Kanner hypothesis implies social costs to spatial/numerical prowess. In light of this growing body of research, we review relevant factor analytic and correlational, behavioural studies. Findings are then synthesised into three themes: an alternative triad of primary autistic trait categories – Social Interaction Deficits, Cognitive Inflexibility, and Sensory Abnormalities – that more accurately reflects the factor structure of autistic traits; continuity between clinical and non-clinical autism-spectrum trait presentation; and indications that although social and non-social autistic traits may be initially independent, Kanner-like co-variance emerges behaviourally from dynamic trait interactions over the course of development. A dynamic developmental model subsuming these patterns is offered, and its advantages demonstrated in a novel account of ritualistic behaviours: as developmentally emergent, compensatory mechanisms for interactions between cognitive inflexibility and sensory abnormalities. We conclude with the broader imperative that behavioural scientists appealing for directly and exclusively genetic links may instead benefit from a developmental framing within their own discipline.     

Burnout during a long-term rehabilitation: comparing low burnout,high burnout – benefited,and high burnout – not benefited trajectories

Abstract

To focus rehabilitation activities among burnout clients more effectively, it is important to investigate who benefits from burnout interventions. This study (N=85) aimed at identifying burnout trajectories in terms of benefit, that is, subgroups of clients who share similar mean levels and changes in burnout during a one-year rehabilitation intervention (17 days in total) with a six-month follow-up. After identifying the burnout trajectories, the relations of the trajectories with factors describing the clients, antecedents, and consequences of burnout during the one-year intervention were examined. Three burnout trajectories were identified by growth mixture modeling: (a) low burnout (n=39), (b) high burnout – benefited (n=29), and (c) high burnout – not benefited (n=17). Positive changes were detected in antecedents and consequences among the clients in the low burnout and high burnout – benefited trajectories. Recovery from burnout was associated with increased job resources and decreased job demands, as well as with increased job satisfaction and decreased depression. It seems that more precise targeting of rehabilitation is needed since the trajectories revealed not only clients with mild symptoms, but also clients who probably received this treatment too late.     

The effect of controllability and causality on counterfactual thinking

Previous research on counterfactual thoughts about prevention suggests that people tend to focus on enabling rather than causing events and controllable rather than uncontrollable events. Two experiments explore whether counterfactual thinking about enablers is distinct from counterfactual thinking about controllable events. We presented participants with scenarios in which a cause and an enabler contributed to a negative outcome. We systematically manipulated the controllability of the cause and the enabler and asked participants to generate counterfactuals. The results indicate that when only the cause or the enabler is controllable participants undid the controllable event more often. However, when the cause and enabler are matched in controllability participants undid the enabler slightly more often. The findings are discussed in the context of the mental model, functional and judgement dissociation theories as well as previous research on counterfactual thinking. The importance of controllability and possible reasons for the special role of enablers are considered.