The Role of Communal Practices in the Generation of Capital and Emotional Energy among Urban African American Students in Science Classrooms
Bibliographic record
Abstract
One of the intractable aspects of the so-called achievement gap between Black and White students lies in our failure to identify viable ways to increase science achievement and participation among African American students living in our inner cities. However, there has been little research that attempts to understand how the social and cultural experiences of these African American students affect what happens in science classrooms. Using lenses from cultural sociology, the research presented in this paper begins to describe the nature of communalism as a cultural disposition and a component of their repertoires of practice. While recognizing the complex and contradictory nature of culture, we argue that communalism is common among African American experiences and has particular significance in interactions among urban teens, and that it permeates urban classrooms as well. By focusing on a pair of African American male students, we answer important questions of how communal practices afford the generation of social and symbolic capital along with positive emotional energy, as shared goals are addressed and science participation and understanding are enhanced. In addition, we offer suggestions on how teachers can employ an understanding of the role of communalism, capital, and emotional energy in improving science teaching and learning in their classrooms.
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".