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Record W6992454612

A level playing field? A comparative analysis of financial student aid in Sweden and Germany

2023· other· en· W6992454612 on OpenAlexfundno aff

Bibliographic record

VenueLund University Publications Student Papers (Lund University) · 2023
Typeother
Languageen
FieldSocial Sciences
TopicDigitalization, Law, and Regulation
Canadian institutionsnot available
FundersQueen's UniversityLunds Universitet
KeywordsGermanSocioeconomic statusHigher educationEconomic JusticeDistributive justiceDevelopment aidQualitative research
DOInot available

Abstract

fetched live from OpenAlex

This qualitative case study compares two different student aid systems, the universal Swedish one (CSN) with the needs-based German one (Bafög) to determine their effect to facilitate enrollment in university education and reduce socioeconomic inequalities. For this, tertiary students in Germany and Sweden were surveyed for their opinion on the equality of their respective student aid systems. John Rawl’s theory of distributive justice is used as a baseline for equality. It is shown that while the Swedish system promotes equality due to its good accessibility and financial reliability, the German system does not as financial support was shown to vary across students while student aid was difficult to access and maintain. Therefore, it is recommended for the German system to be reformed towards a more universal student aid system to make educational access fairer and to reduce socioeconomic inequalities.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0070.009
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.039
GPT teacher head0.306
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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