MétaCan
Menu
Back to cohort
Record W3191312867 · doi:10.15273/jue.v11i2.11038

Cycling in(to) Society: Integration and Social Mobility in Copenhagen

2021· article· en· W3191312867 on OpenAlexvenueno aff
Tanja Karen Jensen

Bibliographic record

VenueJournal for Undergraduate Ethnography · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Social integrationSociologyParticipant observationSocial environmentSocial mobilityPublic relationsGender studiesPolitical scienceSocial scienceGeography

Abstract

fetched live from OpenAlex

Integration and the processes involved are increasingly becoming more important in anthropological studies as the world is globalising. However, individual experiences of migrants, especially those of women, are often not considered in academic research. Therefore, I aim to include personal experiences of migrant women by studying those in the context of integration in Copenhagen. I conducted fieldwork over two months in the city of Copenhagen through participant observation in a cycling course created by the Red Cross, along with several informal interviews and five in-depth interviews with key informants. This article examines how integration is perceived, whether intersecting physical and social mobility can aid integration, and what impact gender has on these processes. Integration in this context is argued to be a form of social mobility, one that describes a forward movement into society. The process of integration for the women considered in this research is aided by cycling, as moving through the city physically promotes social mobility. Cyclists learn to navigate both the social and physical environment around them, and they gain access to services as well as opportunities in the labour market.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.374
Teacher spread0.327 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal for Undergraduate EthnographySame topicMigration, Refugees, and IntegrationFrench-language works237,207