Interrogating Course-Related Public Interest Internships in Communications
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
This article examines the benefits and drawbacks of for-credit, unpaid internships geared towards the public good. Attention is focused specifically on communication internships with non- governmental, non-profit, and community-based organizations. Drawing on a series of semi-structured interviews with students, staff, faculty, and host organizations, the author advances a critical model of service learning that more fully recognizes the labour of community partners and encourages students to consider what role they can and should play in advancing the public good. The article also highlights two key issues vis-à-vis public interest internships that are of particular relevance to the field of communications. The first is a disconnect between, on the one hand, communications as a theoretical field of study and, on the other hand, the skills communication students are typically expected to bring with them into their placements. The second is a growing tension between what different members of the university community expect out of public interest internships: politically safe forms of community engagement palatable to university administrations versus more activist-oriented placements with organizations and movements that contest structures of control both on and off campus. The author contends that communication programs must critically reflect upon how politically benign and/or contentious internships support their pedagogical goals and what resources need to be in place to meet the- se objectives.
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 | 0.013 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.009 | 0.019 |
| Open science | 0.010 | 0.005 |
| 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