Challenging the Low Wage Economy: Living and Other Wages
Bibliographic record
Abstract
The existence of a low wage sector is nothing new, nor are efforts to resist the conditions experienced by people whose incomes typically fall below the poverty line. In recent decades, under the rubric of neoliberalism structural and political factors in many western states have combined to expand the low wage sector. In policy terms this is represented by intensified efforts to flexibilize the labour market and to impose conditionality for the receipt of social benefits. Various social and political forces have pushed for policies to address issues of low wages and poverty. The paper recognizes the intersection of social and labour market policies but focuses on the latter. It opens with an historical overview of efforts to address low wages that touches on sectoral councils in the U.K, and the Awards system in Australia. It then moves on to analyze contemporary minimum wage policy and campaigns for a living wage. We then turn to the discourses/argumentation associated with these initiatives, and those employed by opposition to them. Our goal is to understand and evaluate the arguments advanced but move beyond discourse to identify the conditions in which particular means of addressing low wages can succeed.
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 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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".