Social Characteristics of Belgian Primary Teachers in the Twentieth Century

It is often claimed, both in the literature and by public opinion, that the status of teachers has declined sharply compared with the situation in the past. This article takes a more detailed look at the complex phenomenon of the ‘status’ of teachers. It does so on the basis of seven variables which ‘operatiohalise’ the process of social approval: the level of feminisation of the teaching corps, its social background, education, legal position and salary, the degree to which control has been obtained over the profession and its degree of social integration. Although a certain loss of prestige has undeniably occurred in comparison with other professions, it is evident that the status issue is not as clear cut as sometimes implied. In the first place, several contradictory trends were detected amongst the factors studied, indicating that the process of status acquisition and/or loss has not developed in a uniform manner. Moreover, statements concerning the relative status of this particular professional group always have to be related to other professions, regarding which the necessary basic data is not always present. It is evident, nonetheless, that the old (and not always very realistic) image of the ‘schoolmaster’ or ‘mistress’ with a ‘noble vocation’ to fulfil has faded nowadays, without the new ideal of the ‘education specialist’ yet establishing itself in the social context.     

Latent Variable Analysis: A New Approach to University Ranking

This study applies a Bayesian latent variable analysis to the task of determining rankings of universities in the UK and US, on the basis of a set of quality‐related measures. It estimates the degree of uncertainty in the rankings and permits the assessment of statistically significant differences across universities. It also provides a methodology for determining the weighting of various measures that is based on the patterns embedded in the data and compares the latent variable rankings with traditional weight‐and‐sum rankings. Overall, the methodology contributes to a better understanding of ranking efforts and illustrates the need for caution in interpreting distinctions published in traditional ranking systems.     

Cross-linguistic analysis of vocabulary in young children: spanish, dutch, French, hebrew, italian, korean, and american english

The composition of young children's vocabularies in 7 contrasting linguistic communities was investigated. Mothers of 269 twenty-month-olds in Argentina, Belgium, France, Israel, Italy, the Republic of Korea, and the United States completed comparable vocabulary checklists for their children. In each language and vocabulary size grouping (except for children just learning to talk), children's vocabularies contained relatively greater proportions of nouns than other word classes. Each word class was consistently positively correlated with every other class in each language and for children with smaller and larger vocabularies. Noun prevalence in the vocabularies of young children and the merits of several theories that may account for this pattern are discussed.     

Contiguity and covariation in human causal inference

Nearly every theory of causal induction assumes that the existence and strength of causal relations needs to be inferred from observational data in the form of covariations. The last few decades have seen much controversy over exactly how covariations license causal conjectures. One consequence of this debate is that causal induction research has taken for granted that covariation information is readily available to reasoners. This perspective is reflected in typical experimental designs, which either employ covariation information in summary format or present participants with clearly marked discrete learning trials. I argue that such experimental designs oversimplify the problem of causal induction. Real-world contexts rarely are structured so neatly; rather, the decision about whether a cause and effect co-occurred on a given occasion constitutes a key element of the inductive process. This article will review how the event-parsing aspect of causal induction has been and could be addressed in associative learning and causal power theories.