MétaCan
Menu
Back to cohort
Record W4206812334 · doi:10.29173/cjfy29759

From the Periphery to the Center: Young People's Agonistic Pathways Towards Higher Education

2022· article· en· W4206812334 on OpenAlexvenueno aff
Felipe Salvador Grisolia, Lúcia Rabello de Castro

Bibliographic record

VenueCanadian Journal of Family and Youth / Le Journal Canadien de Famille et de la Jeunesse · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicYouth, Politics, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedPrestigeSociologyCenter (category theory)Higher educationSocial psychologyPsychologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.268
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Family and Youth / Le Journal Canadien de Famille et de la JeunesseSame topicYouth, Politics, and SocietyFrench-language works237,207