Pedagogy, Purpose, and the Second Language Learner in On-Line Communities
Bibliographic record
Abstract
Information and communication technologies (ICTs) are often portrayed as offering a collaborative community space in which native and non-native language speakers reciprocally scaffold linguistic, cultural and content knowledge, a space which assists students in overcoming well-documented challenges encountered in traditional classrooms (Leki, 2001; Morita, 2000, 2004). However, recent studies point to the communicative disjunctures arising from variances in cultural capital and socio-technological histories in on-line dialogic encounters between student groups (see Belz, 2003; Kramsch & Thorne, 2002; Thorne, 2003, 2000). This article examines online community formation among participants in a graduate seminar on modern language education and the pedagogical design that facilitated the development of norms of joint construction of knowledge, reciprocity, and sharing. Drawing upon survey and interview data as well as on a descriptive statistical analysis of the bulletin board interaction, the study explores how design provided non-native speakers with opportunities to capitalize on their existing experiential and intellectual capital.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".