The Location of Knowledge: A Conversation With the Editors on Knowledge, Experience, and Place
Bibliographic record
Abstract
Introduction As co-editors of this theme issue of AJER, we have accepted that knowledge systems and teacher education programs are deeply interconnected. Further, we claim that teacher education programs must incorporate in theory and practice the fact that knowledge systems are a determining factor in the effectiveness of a teacher education program. In assessing these statements, as educators involved directly in teacher education programs, we decided that a substrate of theory underlies this discussion of knowledge systems and teacher education. This deeper level of theorizing about education in general speaks to the location or place of knowledge, and ultimately knowledge systems, especially in relation to knowledge and knowledge systems as we understand these in the context of teacher education programs. The significance of this question about the place or location of knowledge and knowledge systems is certainly important to teacher education programming. In this article we use the term knowledge systems to refer to those systems of knowledge and information that are connected to physical locations or places. The term knowledge system as we use it in this article refers to a basic understanding that knowledge itself is directly linked to place, and thus knowledge cannot be accessed without an individual’s preparation and conscious acceptance of particular knowledge as an integral part of the particular place from which it springs, arises, or is derived. The collection, or whole, of the particular parts of knowledge together comprises the knowledge system, also connected to particular place or places. This definition of knowledge system differs from the more common usage where knowledge system is understood in reference to a system of information collection, management, storage, and/or distribution (usually computer-based or computer-driven) or in reference to a collection of information or knowledge about a specific subject or area of study. Such use of the term can give rise to misunderstanding and misrepresentation of the thinking behind the argument that teacher education programs need to acknowledge formally and include knowledge systems as a plurality in their classrooms. To persist in maintaining teacher education programs that promote a singular Western intellectual tradition is to promote educationally unsound and ethically questionable educational programming on unsuspect-
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".