INTRODUCTION TO SPECIAL ISSUE: YOUTH TRANSITIONS TO EDUCATION AND EMPLOYMENT: A MOBILITIES PERSPECTIVE
Bibliographic record
Abstract
This special issue focuses on the geographical and spatialized mobilities related to youth transitions to post-secondary education and employment. The “mobility turn” in social sciences in the last decade recognizes that life is increasingly organized and shaped by mobilities (and immobilities) across varying spatial and temporal scales. Yet these mobilities have only recently been examined and theorized as central to understanding the complexity and diversity of young people’s experiences. The collection of articles in this special issue presents a multiplicity of young people’s relationships to mobilities, particularly as they pursue post-secondary education and employment. The papers are concerned with: (a) the motivations for and expectations of imagined mobility (the innumerable reasons why youth choose, or are compelled, to move or stay), whether focused on the outmigration or inmigration of mobile youth; (b) the lived experiences that youth have in their mobility practices (focusing on multistranded relationships between places of origin and destination, or recognizing the temporality of that mobility); and (c) the value that these youth mobility studies have for policy issues and policy recommendations. The papers in this issue are case studies concerned with youth mobility prior to the COVID-19 pandemic. They use qualitative and quantitative methods, representing inter- and cross-disciplinary approaches from anthropology, sociology, education, communication, and rural development studies. They derive from a collaboration through the On the Move Partnership, an 8-year interdisciplinary research initiative with a key focus on young people’s employment- and education-related geographical mobilities in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".