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Record W2983440624 · doi:10.22318/cscl2019.767

The roles of knowledge in knowledge creation

2019· article· en· W2983440624 on OpenAlexaff
Carl Bereiter, Carol Chan, Huang‐Yao Hong, Jiyeon Lee, Ahmad Khanlari, Pei-Yi Lin, Ching Sing Chai, Chin‐Chung Tsai, Marlene Scardamalia, Seng Chee Tan, Yuyao Tong, Jan van Aalst, Jianwei Zhang, Yi-Bing Zhang

Bibliographic record

VenueThe HKU Scholars Hub (University of Hong Kong) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsKnowledge managementComputer scienceKnowledge creationBusinessMarketing

Abstract

fetched live from OpenAlex

Reading comprehension research of the 1970s established that prior world knowledge is a determiner of the acquisition of new knowledge, mainly by providing schemas into which new information may be entered. This should clearly apply to students creating knowledge by building on their existing knowledge and on knowledge gained from other sources. In addition, researchers on Knowledge Building have identified other kinds of knowledge useful in knowledge building, including knowledge of promisingness, knowledge about knowledge (epistemology), principled procedural knowledge, and knowledge about external expectations (such as curriculum standards and tests). This symposium brings together researchers who have studied various roles of knowledge in knowledge building, with the goal of at least organizing the distinct views but if possible producing an integrative framework for treating knowledge in creative work with ideas.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.338
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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