Community Service-Learning in a Large Introductory Sociology Course: Reflections on the Instructional Experience
Bibliographic record
Abstract
This paper reports on a pilot project that involved the incorporation of Community Service-Learning (CSL) into a large Introductory Sociology class by drawing on the critical reflections of the six graduate student instructors and the primary instructor who taught the course. Graduate student instructors individually facilitated weekly seminars for about 30 undergraduate students, half of which participated in CSL, completing 20 hours of volunteer work with a local non-profit community organization. We discuss the benefits of incorporating CSL into a large Introductory Sociology class and speculate on the value of our particular course format for the professional development of graduate student instructors. A main finding was the critical importance to graduate students of formal and informal training and collaboration prior to and during the delivery of the course. Graduate students found useful exposure to CSL as pedagogical theory and practice, and appreciated the hands-on teaching experience. Challenges with this course structure include the difficulty of seamlessly incorporating CSL student experiences into the class, dealing with the “CSL”/ “non CSL” student division, and the nature of some of the CSL placements. We conclude by discussing possible methods for dealing with these challenges.
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How this classification was reachedexpand
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 | 0.909 | 0.860 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.746 | 0.005 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.730 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".