Using Outreach Weeks to Examine Labor, Assessment and Value in Open Advocacy
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
INTRODUCTION Like the scholarly communication system it aims to transform, open advocacy work is broad in scope and reflects many influences, practices, and players. Despite having a rewarding mission, scholarly communication librarians frequently juggle multiple roles, may experience isolation and career stagnation, and produce outputs that are not readily understood. METHODS These challenges inspired the creation of the Open Action Kit, a suite of tools to help practitioners plan, execute, and assess open advocacy weeks, particularly Open Access Week. This resource sought to make explicit parallels between the activities and scope of open advocacy work and leadership skills that could aid in career progression. RESULTS The project’s aims and structure matured to focus on a broader, critical appraisal of the nature of scholarly communication work. Its encouragement of dialogue between its members and audience more thoroughly recognized and addressed the tensions between open advocacy work and professional success. DISCUSSION Open advocates expressed many frustrations with their work: they often felt isolated or burnt out, hindered by structures or expectations from their organization. While relational work is fundamental to the cultural change inherent in scholarly communication work, the overly simplistic, quantitative measures typical of library assessment do not accurately capture its nuance or complexity. CONCLUSION Centering the relational components of open advocacy work is necessary for it to be successful, sustainable, and appropriately valued. While the Open Action Kit has not been updated since 2017, it serves as a useful model for translating and centering relational work through distributed leadership, advocacy, and skill development.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.019 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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