Reflections on Embeddedness in an Applied Sociology Project in Ontario
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
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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