Trajectories on the path to reciprocity—A theoretical framework for collaborating with socioeconomically disadvantaged communities.
Bibliographic record
Abstract
The importance of cultivating connection to enhance individual, relational and collective well-being is gaining attention in the current literature on building community. Although these goals are being increasingly considered, the concept of reciprocity has been less prominent than may be warranted in the field of psychology. This article presents a theoretical framework on the dynamics of reciprocity which resulted from grounded theory (GT) research involving 2 complementary studies. The first study involved 22 participants from different socioeconomic backgrounds engaged in "reflecting-team with appreciative audiences" sessions (Madsen, 2007) in Portugal. The second study involved participant observation of 15 community programs recognized as good-practices in collaboration with socioeconomically disadvantaged participants, at national and international levels, across 9 countries. The theoretical framework emphasizes the centrality of building reciprocity for the development of individuals, families, communities, and programs. It integrates the trajectories of reciprocity; quadrants reflecting the standpoints assumed according to socioeconomic and cultural positions; basic social-psychological processes inherent to the process of building reciprocity; and characterizes different types of programs. The resulting framework is analyzed in relation to prior literature for a broader understanding of synergies and challenges, and the article concludes by suggesting implications for further research and practice. (PsycINFO Database Record
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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 | 0.012 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".