Review Of "The Economic Implications Of Social Cohesion" Edited By L. Osberg
Bibliographic record
Abstract
Tackling a topic of growing interest to social scientists, this volume offers theoretical and empirical insights into the relationship between social capital and social cohesion and a series of social and economic variables. These range from the specific (e.g., the relationship between social cohesion and the well-being of children and, in another chapter, the complex pathways relating health and social cohesion) to the more general (e.g., the ways in which social cohesion mediates the relationship between the public and voluntary sectors or how they affect regional development) to, finally, the macroeconomic implications of social cohesion. Editor Osberg (Dalhousie Univ., Canada) is explicit in noting that this volume does not offer a single answer to the question of how social capital and social cohesion affect economic and social outcomes--nor does it offer a common explicit understanding of what social cohesion and social capital are. Nevertheless, the book incorporates thought-provoking attempts to define these terms and to map their relationships to fundamental aspects of modern society and economy and can serve as a good introduction to this area of study for those readers already equipped with some background in economics and social policy. Summing Up: Recommended. Upper-division undergraduate through professional collections.
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".