Community building in the MTBoS: Mathematics educators establishing value in resources exchanged in an online practitioner community
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
Mathematics educators are engaging in an online community referred to as the Math Twitter Blogosphere (MTBoS) to support their practices. Although studies indicate that educators who participate in professional online communities engage primarily in sharing and consuming resources, and in some cases also in building and maintaining professional relationships, it is unclear how they interpret these opportunities. This study explores the community building activities mathematics educators refer to when speaking about their engagement in the MTBoS and unpacks ways in which they value and establish value in the activities they refer to. Findings indicate that members of the MTBoS community refer to identifying and selecting resources frequently, that they value resources that are inspiring, relevant, and reliable, and that they establish values through identifying resources with attributes of specificity, like-mindedness, credibility, and through repeated exposure over time.
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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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