A Marxist political economy approach to the Atlantic Canadian consumer co-operative grocery stores
Bibliographic record
Abstract
This thesis explores the Atlantic Canadian consumer co-operative grocery stores in relation to the experience of consumer, worker, and manager members. This thesis employs an exploratory case study and semi-structured interview research design in order to collect, analyse, and present the perceptions of interview participants. The model of reasoning used in thesis study is primarily deductive beginning with a review of cooperative and Marxist political economic literature. However, inductive reasoning adds colour to this thesis by utilising what the interview participants think is important about the Atlantic Canadian consumer co-operative grocery stores. Three general research questions are used to guide the investigation of the Atlantic Canadian consumer cooperative grocery stores. First, how is the relationship between worker and consumer owners of the co-operative store similar to the relationship between employees and shareholders found in a capitalist store as depicted in the Marxist literature? Second, is the memberships' control over management less effective and less democratic than shareholder control over management in the strictly capitalist form of business as depicted in the Marxist literature? Third, how is the relationship between worker and manager owners in the co-operative store similar to the relationship between workers and management found in a capitalist store as depicted in the Marxist literature? This thesis concludes by defining a Marxist political economy approach to the Atlantic Canadian consumer co-operative grocery stores. Recommendation for further study of the Atlantic Canadian consumer co-operative grocery stores are outlined in the conclusion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.019 | 0.020 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".