Estimating achievement from fame

We report a method for estimating people's achievement based on their fame. Earlier we discovered (cond-mat/0310049) that fame of fighter pilot aces (measured as number of Google hits) grows exponentially with their achievement (number of victories). We hypothesize that the same functional relation between achievement and fame holds for other professions. This allows us to estimate achievement for professions where an unquestionable and universally accepted measure of achievement does not exist. We apply the method to Nobel Prize winners in Physics. For example, we obtain that Paul Dirac, who is hundred times less famous than Einstein contributed to physics only two times less. We compare our results with Landau's ranking

Is it time to rethink project success?

The notion of success and failure in software projects are confusing. Failure is often considered in the context of the iron triangle as the inability to meet time, cost and performance constraints. Yet, while there is a consensus around the prevalence of project failure, new projects seem destined to repeat past mistakes. This paper tries to advance the discussion by offering a new perspective for reasoning about the meaning of success and the different types of software project failures. The paper advocates rising beyond the fixation with internal parameters of efficiency. It begins by discussing the limited insights from existing project failure surveys, before offering a four level model addressing the essence of successful delivery and operation in software projects and considering the different measures required in order to utilise richer measurements of success

The evolution of inequality in productivity and wages: panel data evidence

There has been a remarkable increase in wage inequality in the US, UK and many other countries over the past three decades. A significant part of this appears to be within observable groups (such as age-gender-skill cells). A generally untested implication of many theories rationalizing the growth of within-group inequality is that firm-level productivity dispersion should also have increased. Since the relevant data do not exist in the US we utilize a UK longitudinal panel dataset covering the manufacturing and non-manufacturing sectors since the early 1980s. We find evidence that productivity inequality has increased. Existing studies have underestimated this increased dispersion because they use data from the manufacturing sector which has been in rapid decline. Most of the increase in individual wage inequality has occurred because of an increase in inequality between firms (and within industries). Increased productivity dispersion appears to be linked with new technologies as suggested by models such as Caselli (1999) and is not primarily due to an increase in transitory shocks, greater sorting or entry/exit dynamics

Unchartered Territory for the Bluegrass State : Lessons to be learned from over a Quarter-century of State Charter School Legislation

Charter school success or failure is not simply a matter of chance. Both the existence and aggregate quality of charter schools in a state depend on the provisions of state charter school laws. These laws address a wide range of issues and vary from state to state. But the experiences of states with significant charter sectors, as well as those with innovative charter policies, provide important lessons for the charter school movement as a whole

‘I’m ugly, but gentle’: performing ‘little character’ in post-Mao Chinese comedies

Stars are often associated with glamour and beauty, but in this paper I would like to question how the concept of “chou” (literally meaning ugliness) is embraced in contemporary Chinese cinema. The popularity of chouxing (ugly star) in the Chinese cinema since the late 1980s has challenged the star system in Chinese film industry during the previous decades when a male actor’s handsome appearance was regarded as an important criterion for him being cast as a leading man. Directing the public attention to a male star’s physical appearance by stressing the attributive adjective chou, this newly-coined word raises a question: how the cinematic emphasis on a male star’s physical appearance engages with the social construction of a star’s screen charisma under the transnational context? To answer the question, this article takes Ge You (b.1957) as a case study and explores the star’s impersonation of xiao renwu (little character) in Chinese comedies. I argue that the Chinese cinema’s emphasis of a chouxing’s physical appearance is a visual manifest of the character’s imperfectness and ordinariness. Nonetheless, despite the fact that the cinematic emphasis of the star’s unattractive appearance often signifies a little character’s unprivileged social status, it neither marginalises nor makes the character a social outsider. Instead, the imperfectness and ordinariness has endowed the little character with the power as an insider of the Chinese society

Lexical Derivation of the PINT Taxonomy of Goals: Prominence, Inclusiveness, Negativity Prevention, and Tradition

What do people want? Few questions are more fundamental to psychological science than this. Yet, existing taxonomies disagree on both the number and content of goals. We thus adopted a lexical approach and investigated the structure of goal-relevant words from the natural English lexicon. Through an intensive rating process, 1,060 goal-relevant English words were first located. In Studies 1-2, two relatively large and diverse samples (total n = 1,026) rated their commitment to approaching or avoiding these goals. Principal component analyses yielded 4 replicable components: Prominence, Inclusiveness, Negativity prevention, and Tradition (the PINT Taxonomy). Study 3-7 (total n = 1,396) supported the 4-factor structure of an abbreviated scale and found systematic differences in their relationships with past goal-content measures, the Big 5 traits, affect, and need satisfaction. This investigation thus provides a data-driven taxonomy of higher-order goal-content and opens up a wide variety of fascinating lines for future research

The Evolution of Inequality in Productivity and Wages: Panel Data Evidence

There has been a remarkable increase in wage inequality in the US, UK and many other countries over the past three decades. A significant part of this appears to be within observable groups (such as age-gender-skill cells). A generally untested implication of many theories rationalizing the growth of within-group inequality is that firm-level productivity dispersion should also have increased. Since the relevant data do not exist in the US we utilize a UK longitudinal panel dataset covering the manufacturing and non-manufacturing sectors since the early 1980s. We find evidence that productivity inequality has increased. Existing studies have underestimated this increased dispersion because they use data from the manufacturing sector which has been in rapid decline. Most of the increase in individual wage inequality has occurred because of an increase in inequality between firms (and within industries). Increased productivity dispersion appears to be linked with new technologies as suggested by models such as Caselli (1999) and is not primarily due to an increase in transitory shocks, greater sorting or entry/exit dynamics.wage inequality, productivity dispersion, technology

The Evolution of Inequality in Productivity and Wages: Panel Data Evidence

There has been a remarkable increase in wage inequality in the US, UK and many other countries over the past three decades. A significant part of this appears to be within observable groups (such as age-gender-skill cells). A generally untested implication of many theories rationalizing the growth of within-group inequality is that firm-level productivity dispersion should also have increased. The relevant data for the US is problematic, so we utilize a UK panel dataset covering the manufacturing and non-manufacturing sectors since the early 1980s. We find evidence that productivity inequality has increased. Existing studies have underestimated this increased dispersion because they use data from the manufacturing sector which has been in rapid decline. Most of the increase in individual wage inequality has occurred because of an increase in inequality between firms (and within industries). Increased productivity dispersion appears to be linked with new technologies as suggested by models such as Caselli (1999) and is not primarily due to an increase in transitory shocks, greater sorting or entry/exit dynamics.

Quantitative and empirical demonstration of the Matthew effect in a study of career longevity

The Matthew effect refers to the adage written some two-thousand years ago in the Gospel of St. Matthew: "For to all those who have, more will be given." Even two millennia later, this idiom is used by sociologists to qualitatively describe the dynamics of individual progress and the interplay between status and reward. Quantitative studies of professional careers are traditionally limited by the difficulty in measuring progress and the lack of data on individual careers. However, in some professions, there are well-defined metrics that quantify career longevity, success, and prowess, which together contribute to the overall success rating for an individual employee. Here we demonstrate testable evidence of the age-old Matthew "rich get richer" effect, wherein the longevity and past success of an individual lead to a cumulative advantage in further developing his/her career. We develop an exactly solvable stochastic career progress model that quantitatively incorporates the Matthew effect, and validate our model predictions for several competitive professions. We test our model on the careers of 400,000 scientists using data from six high-impact journals, and further confirm our findings by testing the model on the careers of more than 20,000 athletes in four sports leagues. Our model highlights the importance of early career development, showing that many careers are stunted by the relative disadvantage associated with inexperience.Comment: 13 pages, 7 figures, 4 Tables; Revisions in response to critique and suggestions of referee