From the Periphery to the Center: Young People's Agonistic Pathways Towards Higher Education
Bibliographic record
Abstract
The present research analyzes the mobilities of young people from the periphery of Rio de Janeiro towards a renowned university situated in a central region of the city. Focusing on a case study with four students, we carried out an in-depth investigation of the dynamics of their professional trajectories. Their personal identifications and values, their future career expectations and the pressures and the demands of attending such a university were investigated. Three focus groups meetings were organized with these students. The results show that the displacement from home to the university, social and racial segregation, and arduous academic demands are factors that pose enormous difficulties to these students and require intense psychological work on their part to persist in their educational investment. Intense conflicts with regards to living up to their ideals characterize an agonistic pathway in their educational endeavor. On the other hand, the prestige of the university, family influence and the belief in upward social mobility were found to support these young people’s decision not to give up. This contradictory dynamic, riddled with uncertainties, mobilizes these young people to find a way to permanently renovate their personal stakes in higher education.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".