A midrange theory of local cross-sector action based on the actor-network theory
Bibliographic record
Abstract
Given the value of cross-sector collaborations in solving complex societal problems, experts are now recommending that research focus on documenting process–effect linkages. This paper proposes a validated midrange theory on the process–effect links of local cross-sector action on urban living conditions. The theory expands from an initial prospective study showing that changes were produced by sequences of a limited number (n = 12) of transitional outcomes (TOs), derived from the analysis of empirical material informed by the Actor-Network Theory (ANT), that mark the progression of cross-sector processes toward their effects. This retrospective longitudinal multiple case (eight cases) study was conducted, using primarily case documents and additional interviews with actors involved, aimed at validating/expanding the transitional outcomes, and further anchoring them in ANT. The results confirm and enhance the inventory of TOs, reinforce their definitions, and solidify the midrange theory. This article presents the finalized inventory of TOs anchoring them both in the empirical observations from case studies and in their theoretical foundations drawn from ANT.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".