States are measured and ranked on an ever-expanding array of country performance indicators (CPIs). Such indicators are seductive because they provide actionable, accessible, and ostensibly objective information on complex phenomena to time-pressed officials and enable citizens to hold governments to account. At the same time, a sizeable body of research has explored how CPIs entail ‘black boxing’ and depoliticisation of political phenomena. This article advances our understanding of the consequences of governance by indicators by examining how CPIs generate specific forms of politicization that can undermine a given CPI’s authority over time. We contend that CPIs rely upon two different claims to authority that operate in tension with one another: i) the claim to provide expert, objective knowledge and ii) the claim to render the world more transparent and to secure democratic accountability. Analysing CPIs in the field of education, economic governance, and health and development, we theorize and empirically document how this tension leads to three distinct forms of politicisation: scrutiny from experts that politicises the value judgements embodied in a CPI; competition whereby rival CPIs contest the objectivity of knowledge of leading CPIs; and corruption, where gaming of CPIs challenges its claim to securing transparent access to social reality. While the analysis identifies multiple paths to the politicization and undermining of specific CPIs’ authority, the article elaborates why these processes tend to leave intact and even reproduce the legitimacy of CPIs as a governance technology.

The analysis of similarities does not involve meaningless description but rather the more systematic use of Most Different Systems Designs, temporal variation and large-scale comparative designs. Parallel to this the quantification of comparative politics should progress further. Congruence analysis between data and competing theories can be a (or the) solution with N=1, but cannot be applied in settings with N>1 without risks of selection bias and limitations to multiple causation.

The quantifiers most and more than half pose a challenge to formal semantic analysis. On the one hand, their meanings seem essentially the same, prompting accounts that treat them as logically equivalent. On the other hand, their behavior diverges in a number of interesting ways. This article draws attention to some previously unnoticed contrasts between the two and develops a novel semantic analysis of them, based on principles of measurement theory. Most and more than half have logical forms that are superficially equivalent (per Hackl 2009), but that place different requirements on the structure of the underlying measurement scale: more than half requires a ratio scale, while most can be interpreted relative to an ordinal scale or one with a semiordered structure. The latter scale type is motivated by findings from psychophysics and by psychological models of humans’ approximate numerical abilities. A corpus analysis is presented that confirms the predictions of the present account.

We argue that DISTRIBUTIONAL MODIFICATION is one strategy that language affords for composing propositions about the quantity of entities that participate in a given situation. Distributional modifiers apply to kind descriptions, contributing the entailment that the kind is instantiated by a SET of tokens with a particular distribution. As a case study, we analyze frequency adjectives (FAs, e.g. occasional). We show that previous work, including our own, has suffered for focusing on the paraphrases of FAs rather than on their morphosyntax. We argue for two subclasses of FAs: those that are intersective modifiers sortally restricted to events, and those that are not. The study reinforces two novel theoretical claims in Gehrke & McNally 2011: sometimes kinds are realized by sets of tokens, rather than individual tokens; and some clauses constitute descriptions of EVENT KINDS, rather than EVENT TOKENS.

Typologically, the world's languages vary in how they express universal quantification and negative quantification. In patterns of concord, a single distributive or negative meaning is expressed redundantly on multiple morphological items. Sign languages, too, show semantic variation, but, surprisingly, this variation populates a specific corner of the full typological landscape. When we focus on manual signs, sign languages systematically have distributive concord but tend to not have negative concord in its canonical form. Here, I explain these typological facts as the reflection of an abstract, iconic bias. Recent work on distributive concord and negative concord has proposed that the phenomena can be explained in relation to the discourse referents they make available. The use of space in sign language also invites iconic inferences about the referents introduced in discourse. I show that these iconic inferences coincide with the meaning of distributive concord but contradict the meaning of negative concord. The sign language typology is thus explained based on what is easy and hard to represent in space.

A method is developed to investigate the additive structure of data that (a) may be measured at the nominal, ordinal or cardinal levels, (b) may be obtained from either a discrete or continuous source, (c) may have known degrees of imprecision, or (d) may be obtained in unbalanced designs. The method also permits experimental variables to be measured at the ordinal level. It is shown that the method is convergent, and includes several previously proposed methods as special cases. Both Monte Carlo and empirical evaluations indicate that the method is robust.

A new procedure is discussed which fits either the weighted or simple Euclidian model to data that may (a) be defined at either the nominal, ordinal, interval or ratio levels of measurement; (b) have missing observations; (c) be symmetric or asymmetric; (d) be conditional or unconditional; (e) be replicated or unreplicated; and (f) be continuous or discrete. Various special cases of the procedure include the most commonly used individual differences multidimensional scaling models, the familiar nonmetric multidimensional scaling model, and several other previously undiscussed variants.

The procedure optimizes the fit of the model directly to the data (not to scalar products determined from the data) by an alternating least squares procedure which is convergent, very quick, and relatively free from local minimum problems.

The procedure is evaluated via both Monte Carlo and empirical data. It is found to be robust in the face of measurement error, capable of recovering the true underlying configuration in the Monte Carlo situation, and capable of obtaining structures equivalent to those obtained by other less general procedures in the empirical situation.

Rice herbicide drift poses a significant challenge in California, where rice fields are near almond, pistachio, and walnut orchards. This research was conducted as part of a stewardship program for a newly registered rice herbicide and specifically aimed to compare the onset of foliar symptoms resulting from simulated florpyrauxifen-benzyl drift with residues in almond, pistachio, and walnut leaves at several time points after exposure. Treatments were applied to one side of the canopy of 1- and 2-yr-old trees at 1/100X and 1/33X of the florpyrauxifen-benzyl rice field use rate of 29.4 g ai ha–1 in 2020 and 2021. Symptoms were observed 3 d after treatment (DAT) for pistachio and 7 DAT for almond and walnut, with peak severity at approximately 14 DAT. While almond and walnut symptoms gradually dissipated throughout the growing season, pistachio still had symptoms at leaf out in the following spring. Leaf samples were randomly collected from each tree for residue analysis at 7, 14, and 28 DAT. At 7 DAT with the 1/33X rate, almond, pistachio, and walnut leaves had florpyrauxifen-benzyl at 6.06, 5.95, and 13.12 ng g–1 fresh weight (FW) leaf, respectively. By 28 DAT, all samples from all crops treated with the 1/33X drift rate had florpyrauxifen-benzyl at less than 0.25 ng g–1 FW leaf. At the 1/100X rate, pistachio, almond, and walnut residues were 1.78, 2.31, and 3.58 ng g–1 FW leaf at 7 DAT, respectively. At 28 DAT with the 1/100X rate, pistachio and almond samples had florpyrauxifen-benzyl at 0.1 and 0.04 ng g–1 FW leaf, respectively, but walnut leaves did not have detectable residues. Together, these data suggest that residue analysis from leaf samples collected after severe symptoms may substantially underestimate actual exposure due to the relatively rapid dissipation of florpyrauxifen-benzyl in nut tree foliage.

A procedure based on loss of weight after selective dissolution analysis (SDA) and washing with (NH4)2CO3 was developed for estimating the noncrystalline material content of soils derived from widely different parent materials. After extracting with 0.2 N ammonium-oxalate or boiling 0.5 N NaOH solutions, samples were washed with 1 N (NH4)2CO3 to remove excess dissolution agents and to prevent sample dispersion. The amount of noncrystalline material removed from the sample by the extracting solution was estimated by weighing the leached products dried to constant weight at 110°C. The results match closely with those obtained by chemical analyses of the dissolution product and assignment of the appropriate water. The proposed weight-loss method is less time-consuming than the chemical method, and no assumptions need be made concerning sample homogeneity or water content of the noncrystalline material.

Extractions of whole soil and dispersed clay fractions indicated that noncrystalline material determinations on the clay fractions underestimated the noncrystalline material content for whole soils from 0 to 34%. Acid ammonium oxalate was found to be a much more selective extractant for noncrystalline materials than NaOH.

We investigate whether ordinary quantification over objects is an extensional phenomenon, or rather creates non-extensional contexts; each claim having been propounded by prominent philosophers. It turns out that the question only makes sense relative to a background theory of syntax and semantics (here called a grammar) that goes well beyond the inductive definition of formulas and the recursive definition of satisfaction. Two schemas for building quantificational grammars are developed, one that invariably constructs extensional grammars (in which quantification, in particular, thus behaves extensionally) and another that only generates non-extensional grammars (and in which quantification is responsible for the failure of extensionality). We then ask whether there are reasons to favor one of these grammar schemas over the other, and examine an argument according to which the proper formalization of deictic utterances requires adoption of non-extensional grammars.

Illite polytype quantification allows the differentiation of diagenetic and detrital illite components. In Paleozoic shales from the Illinois Basin, we observe 3 polytypes: 1Md, 1M and 2M1. 1Md and 1M are of diagenetic origin and 2M1 is of detrital origin. In this paper, we compare experimental X-ray diffraction (XRD) traces with traces calculated using WILDFIRE© and quantify mixtures of all 3 polytypes, adjusting the effects of preferred orientation and overlapping peaks. The broad intensity (“illite hump”) around the illite 003, which is very common in illite from shales, is caused by the presence of 1Md illite and mixing of illite polytypes and is not an artifact of sample preparation or other impurities in the sample. Illite polytype quantification provides a tool to extrapolate the K/Ar age and chemistry of the detrital and diagenetic end-members by analysis of different size fractions containing different proportions of diagenetic and detrital illite polytypes.