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Cofounders Greg Sewitz and Gabi Lewis met in college and founded Magic Spoon in 2019. They started out as a direct-to-consumer company, successfully capturing over a million consumers through their clever internet strategy before moving into retail. They have subsequently expanded to Amazon, Target, Walmart, Albertsons/Safeway, Sprouts, and other retailers. They have also raised more than $100 million in capital from celebrity investors such as Shakira, Halsey, The Chainsmokers, Amy Schumer, and Odell Beckham Jr. More for you. The Fed has cut interest rates for the first time in four years, and here's what that means for you. Samsung's new update surprises Galaxy users—and it changes everything. iOS 18: Apple Just Gave iPhone Users 33 Reasons to Upgrade Now Gabi Lewis previously cofounded Exo, which pioneered insect protein as a sustainable food source. "There were a couple things I knew for certain when I was young: that I had a lot of ideas, and that I loved food,"

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 It's extremely difficult to contact migrant farm workers and learn about their experiences, you know? They are difficult to understand due to their limited English proficiency and the constant back and forth about the immigration reform act/law. These groups are referred to as the invis group in the literature, and they are the most disadvantaged group in society, completely unseen and unheard. Chapter 5 describes how difficult it was to contact the participants and learn about their experiences. Picking and interviewing a sample of migrant farm workers was not an easy task for me. This is why a small-scale interpretivist study with qualitative methodology was chosen for this research in order to investigate the broader issues confronting migrant farm workers regarding employment and social and cultural transitions, ya know?

OMG, there is now a database of migrant farm workers, correct? To collect the data, they contacted a random sample of the migrant population. Lit!


Overanalyzed, family. 25 migrant workers employed by agricultural firms in Dundee and the surrounding areas were sampled and interviewed, fam. The 25 interviews were completed between January 2013 and June 2013, you know? The 10 policy interviews were also included in the data, you know? The ten interviews were conducted between February and July 2013 with representatives from organizations that focus on British/Scottish farmers and migrant workers, you know? The policy interviews included three officials from Dundee CAB, who hold a database on migrant farm workers; three equality and diversity officials from three local authorities (Dundee, Perth, and Angus city councils), in whose areas migrant farm workers live; and four officials from the National Farmers Union (NFU -Perth and Forfar Branch: two from each branch) representing British/Scottish farmers to flex on British/Scottish agriculture and horticulture. Despite the small sample size, the data allowed me to discover some unexpected vibes and connections. But I didn't even perform any statistical tests, which require a much larger sample size that is representative of the entire population and ensures we have a good mix of people. The sample size was actually determined by practical considerations, as described below.

Choice of Research Method: Practical AF.


A practical AF thing to consider when choosing a semi-structured interview as a research method is that I feel like the topic is extremely sensitive, so I need to be able to listen to my interviewee's responses, then hype them up and keep the conversation on track without being too pushy, and if it starts to go off track, I need to steer it back on track. The whole point of prompting is to keep the interviewee's mind on the game and give them the opportunity to spill the beans with a more detailed response, you know? (Leidner, 1993: 238). The interview is totally trying to connect with the migrant farm workers, you know? Interpretations of equality of opportunity and treatment they encounter not only in the workplace, but also during social and cultural transitions, you know? So, another major reason I want to use semi-structured interviews is that it will allow me to learn about the experiences of migrant farmworkers. I can really listen to their emotions during the interview and try not to make them feel bad about participating in this research, you know? (Bryman, 2008: 438). This is why I believe open-ended questions can provide much richer qualitative data. While there have been several steps related to the design of my research and various techniques for qualitative data collection, I'm going to start with some features / elements that are, like, required for a clear understanding of how I'm collecting my data.

Data Collection: Feats and Elements, family.


A variety of lit features are fully reflected in the creation of this research, particularly the methods used to analyze data. The most prominent feature of qualitative analysis is qualitative data collection, which involves interviewing migrant farm workers and policymakers. But, to make it more credible, the study gathered a large amount of data from interviews. They conducted two interviews: (i) 25 migrant farm workers (Appendix A) to learn about their work experiences, local issues, and social and cultural changes (Chapters 4 and 5) to address equality issues; and (ii) 10 policymakers/service providers from the public and voluntary sectors (Appendix B) to learn about the challenges they faced with 
The prominence of migrant farm workers in recruitment schemes such as SAWS (Seasonal Agricultural Workers Scheme), SBS (Sectors Based Scheme), and so on was not considered when collecting data for this study. Rather, a random sample was drawn from the Dundee Citizen's Advice Bureau (CAB) database, you know? CAB provided me with fifty names of migrant farmworkers, fam. Fifty is far too many to interview, fam. It's like being completely sampled by selecting every second name without regard for age, country, gender, and so on. CAB is keeping records of migrant farm workers, fam. With this type of sampling, each unit of population, such as migrant farm workers in Dundee and the surrounding areas of Scotland, has an equal chance of being included in the sample. The migrant respondents in this study are A8 / A2 nationals, you know? Twenty-two people are A8 nationals, three are from A2 countries.

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