Personality Predicts Health Declines Through Stressful Life Events During Late Mid‐Life

Personality predicts the occurrence of dependent stressful life events (SLE; i.e., events reliant, at least in part, on an individual's behavior). This process, termed stress generation, contributes to psychiatric outcomes, but its role in physical health is unknown. Data were included from 998 participants (aged 55–64) in the St. Louis Personality and Aging Network (SPAN) study. Assessments occurred every 6 months for 18 months. Neuroticism, impulsivity, and agreeableness were measured with the Revised NEO Personality Inventory. Dependent (e.g., divorce) and independent (e.g., family death) SLE occurring within 6 months following baseline were assessed with the List of Threatening Experiences and confirmed by interviews. Health problems occurring within a year after SLE were the outcome. Analyses examined whether neuroticism, impulsivity, and agreeableness indirectly predict the onset of new health problems through exposure to dependent SLE. Each personality trait was associated with dependent, but not independent, SLE. Only dependent SLE predicted new health problems. Each personality trait indirectly predicted the onset of new health problems through dependent SLE. Findings suggest that personality‐driven stress generation influences physical health during late mid‐life. Addressing personality in interventions may reduce the occurrence of SLE, in turn decreasing health risks.     

The Formal Characteristics of Behaviour-Temperament Inventory (FCB-TI): theoretical assumptions and scale construction

A psychometric study has been conducted with the aims of revising the structure of temperament as postulated by the Regulative Theory of Temperament (RTT) and of constructing an inventory which corresponds to the RTT. A starting point for the study was the assumption that temperament refers to formal attributes of behaviour expressed in energetic and temporal characteristics. About 600 items covering 12 characteristics were generated. A study based on linguistic and itemmetric analysis allowed us to reduce the number of items representing the 12 characteristics to a 381-item pool. This set of items served as the basis for distinguishing the temperamental traits and for constructing the inventory: the Formal Characteristics of Behaviour–Temperament Inventory (FCB-TI). A thorough psychometric study and factor analysis of data obtained from over 2000 subjects (both genders, aged from 15 to 80 years) allowed us to distinguish six temperamental traits which have the status of first-order factors. Among them, four–Sensory Sensitivity, Endurance, Emotional Reactivity, and Activity–refer to the energetic aspect of behaviour and two–Briskness and Perseverance–refer to the temporal characteristics. The FCB-TI has satisfactory psychometric characteristics, including Cronbach alpha and stability measures. Studies have shown that the six FCB-TI scales are replica across samples and refer to robust temperament dimensions.     

Does Infant-Directed Speech Help Phonetic Learning? A Machine Learning Investigation

A prominent hypothesis holds that by speaking to infants in infant-directed speech (IDS) as opposed to adult-directed speech (ADS), parents help them learn phonetic categories. Specifically, two characteristics of IDS have been claimed to facilitate learning: hyperarticulation, which makes the categories more separable, and variability, which makes the generalization more robust. Here, we test the separability and robustness of vowel category learning on acoustic representations of speech uttered by Japanese adults in ADS, IDS (addressed to 18- to 24-month olds), or read speech (RS). Separability is determined by means of a distance measure computed between the five short vowel categories of Japanese, while robustness is assessed by testing the ability of six different machine learning algorithms trained to classify vowels to generalize on stimuli spoken by a novel speaker in ADS. Using two different speech representations, we find that hyperarticulated speech, in the case of RS, can yield better separability, and that increased between-speaker variability in ADS can yield, for some algorithms, more robust categories. However, these conclusions do not apply to IDS, which turned out to yield neither more separable nor more robust categories compared to ADS inputs. We discuss the usefulness of machine learning algorithms run on real data to test hypotheses about the functional role of IDS.     

The original sin of proof-theoretic semantics

Proof-theoretic semantics is an alternative to model-theoretic semantics. It aims at explaining the meaning of the logical constants in terms of the inference rules that govern their behaviour in proofs. We argue that this must be construed as the task of explaining these meanings relative to a logic, i.e., to a consequence relation. Alas, there is no agreed set of properties that a relation must have in order to qualify as a consequence relation. Moreover, the association of a consequence relation to a logical calculus is not as straightforward as it may seem. We show that these facts are problematic for the proof-theoretic project but the problems can be solved. Our thesis is that the consequence relation relevant for proof-theoretic semantics is the one given by the sequent-to-sequent derivability relation in Gentzen systems.

     

Variations on intra-theoretical logical pluralism: internal versus external consequence

Philosophical Studies - Intra-theoretical logical pluralism is a form of meaning-invariant pluralism about logic, articulated recently by Hjortland (Australas J Philos 91(2):355–373, 2013)....     

Detecting analogical resemblance without retrieving the source analogy

We examined whether people can detect analogical resemblance to an earlier experimental episode without being able to recall the experimental source of the analogical resemblance. We used four-word analogies (e.g., robin-nest/beaver-dam), in a variation of the recognition-without-cued-recall method (Cleary, 2004). Participants studied word pairs (e.g., robin-nest) and were shown new word pairs at test, half of which analogically related to studied word pairs (e.g., beaver-dam) and half of which did not. For each test pair, participants first attempted to recall an analogically similar pair from the study list. Then, regardless of whether successful recall occurred, participants were prompted to rate the familiarity of the test pair, which was said to indicate the likelihood that a pair that was analogically similar to the test pair had been studied. Across three experiments, participants demonstrated an ability to detect analogical resemblance without recalling the source analogy. Findings are discussed in terms of their potential relevance to the study of analogical reasoning and insight, as well as to the study of familiarity and recognition memory.