Moving on Up: Researching the Lives and Careers of Young Graduates
Bibliographic record
Abstract
Introduction This book is the outcome of a longitudinal qualitative study, the Paired Peers project, which followed the progress of a cohort of young people throughout their undergraduate study and beyond into the labour market and future lives. A key goal of the research was to compare the experiences of young people from workingclass and middle-class backgrounds. While there have been major quantitative studies of graduate origins and destinations (Brown, 2006; Brown and Tannock, 2009; Purcell et al, 2009, 2013; Brown et al, 2010; Elias et al, 2021), there has been less qualitative work on graduate careers, especially of a longitudinal nature. Burke's (2016) and Tholen's (2017) studies are notable exceptions, along with Lehman's (2019, 2021) work in Canada. Very little is known about the complexity of graduate labour market transitions at the end of the 2010s, beyond the data collected by the Higher Education Statistics Agency (HESA) through the former DLHE and the current Graduate Outcomes surveys, which have captured graduate destinations at six and 15 months respectively. Our study affords an opportunity to analyse processes, opportunities and strategies – and to allow individuals to reflect on what they are doing – in a way that no other data can (Corden and Millar, 2007). The existence of a well-motivated cohort of participants provided a unique opportunity to study in real depth the lives and values of a new generation of graduates, as well as their transitions to adult lives in a post-recessionary context, at a time of national and global change in the nature of jobs and occupations. Participants in the research all studied at either UWE or the UoB in Bristol. Bristol is the largest city in the south-west of England. Located just over 100 miles west of London, Bristol's economy in the 21st century is built on the creative media, technology, electronics and aerospace industries. Like many UK cities, Bristol has two universities: UWE, a modern university and a former polytechnic, with a focus on both teaching and research; and the UoB, a traditional ‘redbrick’ university (that is, one of those founded in the 19th or early 20th centuries in major British cities), which is a member of the ‘elite’ Russell group of universities in the UK. Participants in the research presented in this book studied at one or other of these two universities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".