Bibliographic record
Abstract
In Constructing Social Problems, Spector and Kitsuse initiated a constructionist approach to the study of social problems that would emphasize processes of definition over objective conditions. Despite this emphasis on a different subject matter, the social problems moniker was retained and continues to frame the constructionist study of claims-making. This paper contests the centrality of the social problems concept to the constructionist perspective and proposes a shift in theoretical emphasis from constructions of problematic conditions to constructions of actors’ interests. I use the term “interest claims” to describe assertions of what is advantageous or beneficial to certain people or groups, and use a brief case study of claims made by a school board and a group of parents to delineate the difference between paternalistic (“their” best interests) and proprietary (“our” best interests) claims-making activities. Finally, I argue for the inclusion of claims-maker interests and motivations in the study of interest claims and claims-making.
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 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 | 0.038 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.007 |
| Science and technology studies | 0.009 | 0.119 |
| Scholarly communication | 0.017 | 0.035 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".