Class identification in New Zealand: An analysis of the relationship between class position and subjective social location
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.
Bibliographic record
Abstract
Using data collected by two New Zealand surveys in 1999 and 2009, I explore the connection between the objective social class positions of individuals and their own subjective perceptions of these circumstances. Class position is ‘operationalized’ using a newer variant of Goldthorpe’s schema, the European Socioeconomic Classification (ESeC). Through regression analyses, it is demonstrated that ‘objective’ forces contain positive predictive consequences for self-placement. More importantly, the results suggest that as predictors of subjective class, the effects of class have endured while those of education and income – understood here to represent measures of socioeconomic position – have declined. The empirical evidence produced suggests that class continues to generate subjectively salient identities, leading one to deduce that there are no grounds for stating that it is no longer a significant feature in society.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it