Bibliographic record
Abstract
This chapter reviews the core elements of CHAT. Sociocultural theories emphasizing collaborative communication and mediation with tools of all kinds, created first by Vygotsky, expanded to include the collective by Leon’tev and modified by Engeström as modern CHAT, taken together are the theoretical foundation for activity systems thinking. The analysis is done in the context of a real-world example involving the Exxon oil spill in Valdez, Canada. We relate CHAT analyses to actual museum day-to-day decision-making and, also, to the topics addressed in the ensuing chapters. We also discuss the structure agency dialectic basic principles, as well as the basics of neoliberal and othering/deficit ideologies, which are critiqued. This foundation sets the stage for looking at the role contradictions to set the stage for reculturing and expansive learning.
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 | 0.020 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.005 | 0.047 |
| Scholarly communication | 0.016 | 0.058 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.007 | 0.020 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".