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Record W4400218234 · doi:10.1080/13645579.2024.2374082

Going the distance: benefits and challenges of a long-term study of working-class, first-in-family university students

2024· article· en· W4400218234 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Social Research Methodology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsTerm (time)Class (philosophy)SociologyWorking classPsychologyMathematics educationComputer sciencePolitical sciencePolitics

Abstract

fetched live from OpenAlex

This paper draws on experiences gained in a 16-year qualitative study of the experiences of working-class students who were the first in their family to attend university. Although the study suffered from attrition and analysis was complicated because it became increasingly difficult to understand the data through any one theoretical or conceptual framework, this complexity also offered the opportunity for a more nuanced approach, to become reassured in earlier interpretations, and to correct past misinterpretations. Their long-term commitment to the research project led many of the participants to articulate benefits they gained from being in the study for 16 years. The opportunity to tell their stories and have their experiences as first-in-family students validated was something they identified as especially important and valuable to them. QLR thus offers unique benefits that are not possible in cross-sectional research.

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.

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)0.015
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.501
GPT teacher head0.569
Teacher spread0.067 · 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