Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction

Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data‐driven modeling techniques have been used to capture those relationships. The available data to build such models are often limited. Therefore, in practice it is usually necessary to transfer models to a different context. In this article, we show that this implies the samples used to build the model are often not fully representative for the situation where they need to be applied on, which leads to a “sample selection bias.” In this article, we enhance data‐driven damage models by applying methods, not previously applied to damage modeling, to correct for this bias before the machine learning (ML) models are trained. We demonstrate this with case studies on flooding in Europe, and typhoon wind damage in the Philippines. Two sample selection bias correction methods from the ML literature are applied and one of these methods is also adjusted to our problem. These three methods are combined with stochastic generation of synthetic damage data. We demonstrate that for both case studies, the sample selection bias correction techniques reduce model errors, especially for the mean bias error this reduction can be larger than 30%. The novel combination with stochastic data generation seems to enhance these techniques. This shows that sample selection bias correction methods are beneficial for damage model transfer.     

Career Decision State and Assessment of RIASEC Interest Structure

The career decision state (CDS) was studied in relation to RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, Conventional) profiles in Self-Directed Search results among college students (86 women, 27 men). Three CDS dimensions measured by the Career State Inventory (CSI; certainty, satisfaction, and clarity) were examined as predictors of RIASEC primary and secondary constructs. Significant, albeit modest, zero-order correlations (p < .05) emerged between clarity and 3 secondary constructs (i.e., consistency, commonness, and coherence). Results of regression analyses indicated that CSI dimensions predicted 1 secondary construct (i.e., commonness).     

中等职业教育财政投入现状分析与对策研究——以河北省为例

文章通过发放调查问卷，归纳、整理“十二五”期间的财务会计报表对河北省中等职业教育财政投入状况进行了分析，揭示了存在的主要问题，提出了改进中等职业教育财政投入机制的对策和建议。     

Farmers’ Risk‐Based Decision Making Under Pervasive Uncertainty: Cognitive Thresholds and Hazy Hedging

Researchers in judgment and decision making have long debunked the idea that we are economically rational optimizers. However, problematic assumptions of rationality remain common in studies of agricultural economics and climate change adaptation, especially those that involve quantitative models. Recent movement toward more complex agent‐based modeling provides an opportunity to reconsider the empirical basis for farmer decision making. Here, we reconceptualize farmer decision making from the ground up, using an in situ mental models approach to analyze weather and climate risk management. We assess how large‐scale commercial grain farmers in South Africa (n = 90) coordinate decisions about weather, climate variability, and climate change with those around other environmental, agronomic, economic, political, and personal risks that they manage every day. Contrary to common simplifying assumptions, we show that these farmers tend to satisfice rather than optimize as they face intractable and multifaceted uncertainty; they make imperfect use of limited information; they are differently averse to different risks; they make decisions on multiple time horizons; they are cautious in responding to changing conditions; and their diverse risk perceptions contribute to important differences in individual behaviors. We find that they use two important nonoptimizing strategies, which we call cognitive thresholds and hazy hedging, to make practical decisions under pervasive uncertainty. These strategies, evident in farmers' simultaneous use of conservation agriculture and livestock to manage weather risks, are the messy in situ performance of naturalistic decision‐making techniques. These results may inform continued research on such behavioral tendencies in narrower lab‐ and modeling‐based studies.     

浙江省新生代农民工继续教育状况研究

中共中央、国务院印发的《新时期产业工人队伍建设改革方案》提出,要帮助"新生代农民工增加受教育培训机会,提高专业技能和胜任岗位能力",并将教育作为促进农民工融入城市,成为稳定就业的产业工人的重要路径。以浙江省11个地级市的服务行业、建筑行业、制造业的从业人员为主要调查对象,了解浙江省新生代农民工接受继续教育的现状与特点,发现新生代农民工存在自身接受继续教育的动力意愿不足、企业进行职业技能培训投资的动力意愿不足等问题,并据此提出要做好终身教育宣传、搭建继续教育平台、优化在职培训模式等解决办法。     

以市场为导向的高职院校家政专业发展研究

市场经济下社会发展为家政行业的发展带来了巨大的潜力空间,但高职业素养的家政从业人员缺乏逐渐成为行业发展的瓶颈。以市场为导向设置专业是高职院校的重要法则,但因受师资、生源、就业等问题的制约,高职院校家政专业发展出现了诸多问题。可采取以下措施促进高职院校的家政专业良性发展:依据市场导向,立足自身特色,精准定位培养；以家政专业内涵发展及就业前景为宣传突破口破解招生难题；积极“引才”、“育才”构建专业化的师资队伍；推进产学研深度融合助推学生就业等。     

Deep Uncertainties in Sea-Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management

Sea levels are rising in many areas around the world, posing risks to coastal communities and infrastructures. Strategies for managing these flood risks present decision challenges that require a combination of geophysical, economic, and infrastructure models. Previous studies have broken important new ground on the considerable tensions between the costs of upgrading infrastructure and the damages that could result from extreme flood events. However, many risk-based adaptation strategies remain silent on certain potentially important uncertainties, as well as the tradeoffs between competing objectives. Here, we implement and improve on a classic decision-analytical model (Van Dantzig 1956) to: (i) capture tradeoffs across conflicting stakeholder objectives, (ii) demonstrate the consequences of structural uncertainties in the sea-level rise and storm surge models, and (iii) identify the parametric uncertainties that most strongly influence each objective using global sensitivity analysis. We find that the flood adaptation model produces potentially myopic solutions when formulated using traditional mean-centric decision theory. Moving from a single-objective problem formulation to one with multiobjective tradeoffs dramatically expands the decision space, and highlights the need for compromise solutions to address stakeholder preferences. We find deep structural uncertainties that have large effects on the model outcome, with the storm surge parameters accounting for the greatest impacts. Global sensitivity analysis effectively identifies important parameter interactions that local methods overlook, and that could have critical implications for flood adaptation strategies.     

When implicit prejudice does not predict explicit prejudice: Spanish version of the Concern with Acting Prejudiced scale / Cuando el prejuicio implícito no predice el explícito: versión española de la escala Concern with Acting Prejudiced

The aim of this research was to adapt and validate the Concern with Acting Prejudiced (CAP) scale for a Spanish sample. This measure evaluates concern about appearing prejudiced to others or oneself and the motivation not to deviate from personal egalitarian standards. First, we completed the translation and an item content validity analysis. Then, in Study 1 (N = 198), we conducted an exploratory factor analysis. In Study 2 (N = 383), we conducted a confirmatory analysis of the unifactorial structure of the Spanish version of the scale and examined its validity. In Study 3 (N = 89), we explored the moderating role of participants’ concern with acting prejudiced in the relation between implicit prejudice and explicit prejudice. The results confirmed the unifactorial structure of the scale, its appropriate psychometric properties and its predictive validity. Moreover, we confirmed that the CAP moderated the relation between implicit and explicit prejudice. In participants with a low concern with acting prejudiced, implicit prejudice was positively related with modern prejudice; in participants with a high concern with acting prejudiced, these variables were not related.     

Breadth of Vocational Interests: The Role of Career Adaptability and Future Orientation

The authors examined the relationship between career adaptability, future orientation, and vocational interests. Specifically, they tested the role of career adaptability and future orientation in promoting a broader range of vocational interests, based on the principle that experiencing more interests can be useful in giving one's best in multiple occupations and in planning a broad range of career goals. A total of 762 Italian adolescents (383 males, 379 females) participated in the study. Results highlight the mediating role of future orientation in the relationship between 4 career adaptability resources and breadth of vocational interests. These results underscore that specific interventions in career adaptability and future orientation may foster a broader range of vocational interests, providing more opportunity for adolescents to respond to the demands of the current job market.     

Technical and vocational education and training in Uganda: A critical analysis

This article undertakes a diagnostic study of the Technical and Vocational Education and Training (TVET) sub‐sector in Uganda, with a view to characterizing the sub‐sector and identifying its potential strengths and weakness. We undertook a cross‐sectional pre‐survey of purposively selected key stakeholders in the TVET sub‐sector. We selected performance indicators following their importance in influencing the TVET reform process. Both qualitative and quantitative data was solicited from the stakeholders. Quantitative data was collected through stakeholder‐specific structured questionnaires, whilst qualitative data was collected through desk review and field visits, individual focused interviews and focus group discussions. Our findings indicate that financing and planning constraints have resulted in poor quality equipment, under‐ and ill‐trained staff, limited adoption of a competence‐based education and training (CBET) curriculum, not to mention the supervision inadequacies of TVET institutions. Besides, the limited TVET sub‐sector interaction with the private sector has incapacitated TVET curriculum development to nurture skills demanded by the private sector. Furthermore, backward technology use in the private sector has equally inhibited the success of student attachment programmes. Finally, legal ambiguities have perpetuated a qualification jungle and overlapping curricula.