dataesr/scientific-paragraphs-categorization huggingface dataset:
Our statistical analyses indicated that the proportion of Chinese archaeologists publishing in WCJs is extremely low. Of the 103,840 archaeology-related articles retrieved from the WoS database, only 3,182 were published by Chinese scholars (3. 1% of the total), and Chinese scholars published 14 times more archaeology-related articles in CCJs (n = 40,865) than they did in WCJs (n = 3,182). Almost all articles on joint Sino-foreign archaeological projects have been published in CCJs in the last decade. From a quantitative perspective, the share of Chinese archaeology in international scholarship is not proportional to the size of the field. In addition, the recent policy of placing a high priority on domestic SSCI-indexed journals (MOE 2020; MOST, 2020) reflects a trend toward localization in Mainland China's academic policy, which seems to be opposed to disciplinary internationalization.
Data availability The raw bibliometric data were collected from Web of Science (Clarivate Analytics) and CNKI. Two official licenses are required to access these two databases, the developers and owners of which regularly charge fees to institutions to grant licenses to researchers within the institutions. The researchers have access to both databases precisely because the institutions pay the fees and obtain the licenses, so the researchers themselves are not allowed to alienate the right to use these two licenses and to disclose all the raw data in a complete way, or they may be considered to be violating the rights of both databases. Therefore, the raw data used in this paper cannot be posted in a repository.
Acknowledgements We thank  Prof. Lin Zhang  from the  School of Information Management, Wuhan University, Rowan Flad from the Department of Anthropology, Harvard University , and  Anke Hein  from  Institute of Archaeology, University of Oxford  for their helpful discussion and suggestions concerning bibliometric analysis. Our gratitude is also given to  Xinlai Li , doctor in the  School of Information Management, Wuhan University , for her help in applying the bibliometric method and the use of statistical and knowledge graph software. This research was supported by the  National Social Science Fund of China  ( 19ZDA231 ).
Sample and Procedures We recruited 229 individuals via Qualtrics. Following  Bradfield and Aquino (1999) , we used a critical incident technique to gather typical gossip incidents shared by peers at work. Critical incidents enable reflection on a particular workplace episode, ensuring external validity and providing rich data  (Chell, 1998). We used a six-month timeframe to increase participants' recall accuracy. Participants were first asked: "Think back over the last six months as an employee in your current organization to when you experienced gossip behavior by one of your peers. That is, think of an incident when one of your peers informally talked to you about colleague X who was not present. Please write a two-to three-sentence description of the gossip behavior you experienced by your peer.
Acknowledgments We would like to thank  Dr. Nishani Bourmault ,  Dr. Nadia Yin Yu , and  Dr. Thomas Roulet  for providing comments on the earlier version of this article. We also extent our gratitude to the participants at the  People and Organisations Research Seminar  from  NEOMA Business School , as well as anonymous reviewers from the  AoM  and the SIOP conferences.
Method Sample and Procedure The sample size for this study was determined using a-priori statistical power analysis  (Faul et al. , 2007)  via G-Power 3. 1 software. Conservatively assuming a medium effect size f 2 of. 15, with power of. 95, alpha of. 05, and seven predictors, we calculated a minimum sample size of N = 153. The research was carried out with the participation of 185 people working in various organizations in the Île-de-France region. Potential participants were recruited by direct contact on professional websites. To participate in our study, they had to be office workers, to have worked full-time for at least a year in the same organization and to have a permanent contract. This inclusion criterion ensured that the participants had been employed in the same workplace for at least one year, thereby ensuring that they had developed attachment to the workplace  (Scrima, 2020).
Preliminary Analysis Before testing the hypotheses, given the cross-sectional nature of the study design, we checked whether the data were influenced by common-method bias (MacKenzie & Podsakoff, 2012) by comparing three alternative models. The first was a correlated three-factor model (OCB, political skills, and workplace attachment style) in which each item loaded on its latent factor. The second was composed of the set of items on the OCB scales and political skills inventory that loaded on the same latent factor, and the items of the workplace attachment style questionnaire that loaded on another latent factor. The third was a unifactorial model in which all the items of the three scales loaded on a single latent factor. The analyses were conducted with AMOS 20, using the maximum likelihood estimation method.
Hypothesis Testing To test the hypotheses, we analyzed three moderation models (one for each attachment style) using the PROCESS Macro for SPSS  (Hayes, 2013). The contribution of moderation effects was tested using the F test on R Change , and we used simple slope analysis to interpret these effects. Several studies  (Boswell et al. , 2009; Moynihan & Pandey, 2007; Ng & Feldman, 2010)  have shown the impact of organizational tenure on OCBs. For example,  Moynihan and Pandey (2007)  found that newly hired employees tend to immediately activate OCBs. However, these behaviors tend to decrease over time  (Boswell et al. , 2009; Ng & Feldman, 2010). Indeed,  Kim (2018)  demonstrated a negative relationship between organizational tenure and OCB. For these reasons, in our models we included organizational tenure as a covariate with the aim of neutralizing its effect.
g. , "Telepathy exists and anyone can develop this ability"). The news resembled a Facebook post including a picture, a headline, and a byline, and was randomly presented to participants. All headlines were pre-tested before the data collection. We asked participants regarding each headline whether they have seen or heard about the story before (no/ unsure/yes); to their best knowledge, how accurate is the claim in the headline (not at all accurate/not very accurate/somewhat accurate/very accurate); and whether they would consider sharing the story online (I would never share something political online/no/maybe/yes)  10. After evaluating the 30 headlines, respondents were given the 7-item cognitive reflection test used in the original study of Pennycook & Rand 10 (e. g. , A farmer had 15 sheep and all but 8 died.
To calculate media truth discernment scores, we created z-scores from the perceived accuracy of real and fake news and subtracted the z-score of fake news from the z-score of real news (see  10, 19  ). We aimed to strictly follow the analytic strategy of Pennycook and Rand 10 by using Pearson correlations and ANOVAs. Finally, to test the integrative model, we added supplemental analyses to examine the moderating effect of partisanship on the link between analytic thinking and media truth discernment, and we implemented an OLS regression. We conducted Pearson correlations and z-tests to investigate predictors of political and non-political disinformation. IBM SPSS software version 28. 0 and R 4. 0. 3  36 were used for statistical analyses and data visualization.
First, our data collection started amid the COVID-19 waves, and despite preparing a preregistration document for our study, we did not upload it due to an administrative error before data collection. Second, though we followed the methodological guidelines of Pennycook and Rand 10 , the stimulus set was not as completely realistic as reading news in a real-life context, e. g. , when one is browsing their social media timeline. Though the headlines were similar to those that are found on social media, they were not embedded in their original online environment, which might have affected the ecological validity of our study. Third, we examined the same general psychological mechanisms as Pennycook & Rand 10 in this specific Hungarian information environment and found very similar results. However, we do not know whether these results can be extrapolated to other Eastern European countries.
Acknowledgements This research was financed by the funds of  Jigsaw. Laura Faragó  was supported by  ÚNKP-22-4 New National Excellence Program of the Ministry for Innovation and Technology  from the source of the  National Research, Development and Innovation Fund , Grant/Award Number:  ÚNKP-22-4. Péter Krekó  was supported by the  János Bolyai Research Fellowship of the Hungarian Academy of Sciences  (grant nr:  BO/00686/20/2 ) and by the  ÚNKP-20-5 New National Excellence Program of the Ministry for Innovation and Technology  from the source of the  National Research, Development and Innovation Fund  (nr:  ELTE/12912/1(2021 ). Gábor Orosz  was supported by the  Northern French Strategic Dialogue  ( Phase 1 & 2 ) and STaRS Grants. Special thanks to  Williams Nuytens  and  Pasquale Mammone  for their institutional support.
Data availability The dataset that supports the findings (The Role of Analytic Thinking, Partisanship, Digital Literacy, and Source Salience in Fake News Discernment on a Hungarian Sample. sav) is openly available on Open Science Framework (https:// doi. org/ 10. 17605/ OSF. IO/ VCF36) and can be found here: https:// osf. io/ 4r29u.
Interviewees represented a diversity of interests and socio-cultural aspects within (and across) the three study sites and included individuals who felt marginalised from decision-making processes (often at the EU or national scales) affecting local farming practices. It is important to highlight that the aim of this sampling strategy was not to seek a representative sample, but rather hear from a group of people reflecting a broad range of perspectives and views, especially from those groups that are often not heard in public discourses. The profiles of the interviewees are summarised in the Supplementary Material (Box S2). A total of 55 interviews were filmed from July to October 2020: 21 interviews for study site 1, 17 for study site 2, and for study site 3 (see Table  1 ). Considering that the appropriate sample size in qualitative research is determined by data saturation  (Patton, 2002) , these interviewees were found to be sufficient for the needs of each case.
"Imagine that, after your normal working day, you go to bed and during the night a miracle happens that results in a transformed and ideal agriculture. The slight oddity is that no one tells you that the miracle has happened. How do you know this miracle has happened? What does the miracle look like?" The transcriptions of the interviews were corrected by the authors and imported into New NVivo (QSR International Pty) software for analysis. The interviewees' answers to the miracle question were analysed using a grounded theory approach  (Glaser, 1992) , where the ideas or concepts emerge from the data rather than being pre-determined from existing literature or theory. The transcripts were analysed by the authors, breaking down the data and coded according to the ideas and concepts identified.
, 2022b). The online survey was conducted for the study purpose on weekends from November 2021 to February 2022 with the help of an online independent consumer panel agency with access to the Retailer Association of India database  (Kautish et al. , 2021b). A professional market research company was appointed to collect data that had trained, informed, and advised before survey execution, this process helped in reaching appropriate respondents for collecting the primary data. The respondents selected were those individuals who were a) adequately conversant with the use of AI-enabled voice assistants for online shopping and b) were from the database of the Retailer Association of India  (Jain et al. , 2022). Data were collected over four months period. To ensure that the sample size was suitably large for study constructs and scale items, a G*Power analysis (minimum sample 465) was conducted with a 0.
Measurement model To ascertain the socio-demographic characteristics of the sample, descriptive statistics were calculated using the statistical package SPSS v. 26, and AMOS v. 26 was used for data exploration in terms of measurement model (reliability and validity) and structural model (hypothesized paths) according to a two-step procedure of structural equation modeling method  (Hair et al. , 2021). The outcomes of the measurement model revealed an acceptable model fit (χ 2 = 403. 864; df = 172; χ 2 / df = 2. 348; IFI = 0. 965; CFI = 0. 962; TLI = 0. 959; NFI = 0. 960; RMSEA = 0. 064). The model was checked for convergent and discriminant validity and internal consistency reliability. The factor loadings were above 0. 705 and significant at 0. 001 (Table  1 ). The average variance extracted (AVE) was more than the threshold limit of 0.
Limitations and future research directions The present research offers meaningful theoretical and practical inferences, but it has a few limitations that should be considered carefully. First, data were collected only from India, so the scope of the generalizability of the outcomes is limited. Future studies may explore the implication of the proposed theoretical model geographies and regions may increase the generalizability. Moreover, we employed a single survey data collection approach for this study. A multi-study or mixedmethod approach is recommended for future studies for a better understanding. Second, the study concentrated only on AI-enabled services for e-retailers. The application of the theoretical model to other AIenabled technologies such as chatbots, augmented, virtual or mixed reality is suggested to the scholars.
An empirical challenge is operationalizing the 'underclass' when assessing the labor market risks postulated by RRA models. This social class category located below the working class is not usually present in standard class schemes, such as EGP  (Erikson and Goldthorpe 1992). Still, it is necessary for RRA models because the working class would otherwise not face any occupational risk. Breen & Goldthorpe (1997)  define it as "those with only a precarious place in the labor market and only in the lowest grades of employment if not unemployed" (p. 281). Following  Breen and Yaish (2006) , we argue that unskilled, routine occupations classified in category VII of EGP is our proxy for the 'lowest grades of employment'. The source data are the occupation registers from 2001 to 2018 (Statistics Sweden 2011).
The data source is Swedish tax registers. The second indicator is unemployment, measured by the number of days the respondent was registered with the state employment agency (Statistics Sweden 2009). Since Sweden uses the Gent system, this measure has some limitations. Unemployment benefits are conditional on membership in an unemployment agency and sufficient work experience; otherwise, benefits are only given on a small subsistence level. The incentives for registering are thus lower for youngsters, while this measure is more valid for gainfully employed older workers. Thus, it is a conservative measure of actual days of unemployment. We see these two measures of employment instability as complementary. In some models, we will analyze whether the labor market returns to educational qualifications vary depending on parents' social class (we use the dominance criterion, see  Erikson 1984 ).
5 These data use employer reports from the so-called 'earnings structure statistics' (Statistics Sweden 2013), where all public and private employees in large firms (500+ employees) are surveyed each year. Private employees in small and medium-sized firms are sampled in a rotating firm-level cluster sample. Data from employer organizations are also used. A specific rotating occupation survey is sent to the remaining employers (mostly smaller businesses) where the full population is covered within five years (Statistics Sweden 2011). 6 From 2014, Statistics Sweden uses SSYK2012, which no longer follows the ISCO nomenclature strictly. We have backcoded this information to ISCO-88 using data on empoloyees working in the same workplace with the same wage levels across 2013 and 2014 to generate a key.
In other words, the impact of driving anxiety is significant even when the level of anxiety experienced is low  (Fort et al. , 2021; Stephens et al. , 2020). Nowadays, there is still very little data on the prevalence of this phenomenon in the world and no data in France. The only general population prevalence study was conducted in New Zealand. The data were obtained through a survey of a random sample of adults on the electoral roll. The 441 respondents were 18-87 years old. On a YES/NO question, nearly 12% of the respondents declared to be anxious about driving. However, when the same 441 respondents were asked to report their level of driving anxiety on a scale from 0 ("not at all") to 10 ("extremely"), only 31% considered themselves not at all anxious (score 0 or 1), while 52% declared having mild anxiety about driving (score between 2 and 4) and 16% moderate to severe anxiety (score between 5 and 10)  (Taylor, 2018).
Participants The recruitment of 5000 respondents as well as the recording of the data has been assigned to a polling company (Lightspeed Research Limited®) which guarantees the anonymization of the respondents. The sample is representative of the French population aged 18 years or over in terms of age, gender, occupational categories, and place of residence based on the 2021 indicators from the French national institute of statistics and economic studies (Institut national de la statistique et des études économiques, INSEE: https:// www. insee. fr/). The data were recorded in June 2021 using an online platform. Ethical approval was obtained from the ethical committee of our university. Completing the questionnaire implied consent to participate in the survey.
Questionnaire and procedure The questionnaire used in this survey was composed of 4 parts. The first part collected demographic characteristics. This part ensures that the sample was representative of the French population on 5 criteria: -Gender, -Age  (6 classes: 18-24, 25-34, 35-44, 45-54, 55-64, ≥65)  The second part collected data about driving experience: driving licenses held, the implication in road crashes with and without bodily consequences, and frequency of driving. Respondents are also asked to report how much they apprehend 18 driving-specific situations and how often they avoid the same 18 situations, on a 5-Likert scale, from 0 (not at all/never) to 4 (extremely/all the time). These situations are listed in Table  2 (see part 3. 4. 2). The third part of the questionnaire was dedicated to driving anxiety.
Data analyses Data analysis were conducted with SPSS v. 26 for Windows and SAS. There were no missing values in the assessed variables. A first descriptive analysis detailed the composition of our sample according to the expected demographic criteria. Then, several ANOVA were conducted to compare the level of driving anxiety reported according to gender, age, socio-professional categories, French regions of residence, and size of residence agglomeration. Pearson coefficient correlation analysis was carried out to calculate the association between the level of driving anxiety and age, the size of the agglomeration, and the level of general anxiety. To better know the main driving situations that might be problematic for people concerned with driving anxiety, a second descriptive analysis was conducted to identify the three situations the most apprehended as well as the three situations the most avoided from the 18 driving situations proposed (see Table  2 ).
Several research works studying the reputation of vehicles participating in V2X communications state that malicious vehicles or entities could be recognized, and therefore excluded in real time, so that they can no longer be able to participate in communications  [10] ,  [11]. However, malicious entities may have already committed actions likely to be pursued. Therefore, audit is very important since it not only facilitates the arbitration and the resolution of legal issues in case of suspicious events, but it also helps legislators regulate the use of the V2X system, anticipating its popularization. Some applications (such as Waze 1  , Coyote 2  , TomTom 3  , for instance) mainly rely on an identified third party entity (such as the service provider, the car manufacturer, the application editor) which is responsible for providing the data necessary for the audit.
The work in  [125]  presents a method to synchronize data acquisition devices which are mechanically coupled, by the means of an accelerometer attached to each device. In  [126] , a distributed and stratified "black box" audit trail for automotive software and data provenance is proposed to assure users, service providers, and original equipment manufacturers (OEMs) of vehicular software integrity and reliability. The proposed black box architecture is both layered and broadcasted, employing distributed hash tables (DHT), a parity system and a public blockchain to provide high resilience, assurance, scalability, and efficiency for automotive and other safety-sensitive systems. Finally,  [121]  presents a distributed, blockchain-based juridical recording unit ZugChain which opportunistically utilizes on-train hardware.
D. DYNAMIC TOPOLOGY Dynamic topology is inherent to vehicular networks. Vehicles can move in several different environments, which influences both their speed, neighbourhood and data needs. It is not guaranteed for vehicles to be connected with the same neighbour vehicles, RSUs or Cloud servers all along their ride time. Disconnection or isolation can occur frequently (upper-right part of figure  9 ). Relying on Cloud storage and services seems insufficient to keep the traces of all exchanged data and guarantee audit. An effective audit system should take into account all the features and advances of the vehicle system which can be advantageous to enable new functionalities and anticipate failures. One of the most promising research trends for providing continuous transmission coverage and always-on connectivity is the new dynamic RSU deployment patterns.
The concentration of nature participants were exposed to was measured by assessing the Google Street View images at the locations they visited throughout each day. However, as the authors only had a single mental well-being outcome for each day, they had to summarize and aggregate the spatial exposure data at the day level, losing intra-day variations both in the outcome and in environmental exposures as offered by the GPS data. York Cornwell & Goldman (2020) conducted a GEMA study aimed at analysing whether socioeconomic disadvantage and disorder in the residential neighbourhood and activity spaces were associated with momentary stress and strain. They measured self-reported negative environmental stressors with EMA questionnaires. Nevertheless, this method is prone to reverse causality, because depressed people may declare more urban problems, not enabling to assess the causal effect of objective urban stressors on depressive symptomatology.