Using Participatory Action Research to Connect Research Agendas with User Needs: A Crowdsourcing Case Study
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
Crowdsourcing is a digital method used in business and academia to engage public participation in the provision of services, ideas, or information. This original case study focuses on examining process-based challenges of combining knowledge and skills of diverse crowdsourcing stakeholders in a network for shared learning. Participatory action research (PAR) was selected as the method to reflect all stakeholder agendas during the network’s formation. Findings demonstrate a shift in emphasis from initially complying with university funding criteria, to meeting the group’s desire for a network that encourages collaboration and capacity development for its users. This result advances understanding of deploying PAR to foster collaboration between crowdsourcing stakeholders for the purpose of forming a sustainable network for shared learning, and thereby informs future critical research pertaining to crowdsourcing policies and practice.
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 | 0.051 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.021 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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