Reflections on Embeddedness in an Applied Sociology Project in Ontario
Bibliographic record
Abstract
The growth of precarious employment across Canada prompted sociologists and community researchers to understand the causes and consequences of insecure work. However, structural context often leads research organizations’ goals to conflict with those of its members. According to organizational theory, external pressures influence organizational goals and their approaches to problem solving. Thus, the purpose of this article is to illuminate some of the concrete ways that such pressures, known as embeddedness, help to shape research output. We draw on written reflective analyses of our experiences with embeddedness while working in the research organization Poverty and Employment Precarity in Niagara (PEPiN) to highlight the external factors which constrained our data analysis and our final report’s legislative and workplace policy recommendations for relieving the economic and family stresses associated with precarious work. We argue that embeddedness under neoliberal conditions limits the extent of structural critique that research organizations make of working conditions.
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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 | 0.016 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.062 | 0.047 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".