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Record W1488615876 · doi:10.21432/t2ns3z

Finding space for technology: Pedagogical observations on the organization of computers in school environments

2006· article· en· W1488615876 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsYork University
Fundersnot available
KeywordsStructuringSpace (punctuation)Technology integrationComputer scienceResource (disambiguation)Quality (philosophy)Mathematics educationPhysical spaceFocus (optics)Educational technologyMultimediaPsychology

Abstract

fetched live from OpenAlex

With the large-scale acquisition and installation of computer and networking hardware in schools across Canada, a major concern has been where to locate these new technologies and whether and how the structure of the school might itself be made to accommodate these new technologies. In this paper, we suggest that the physical location and organization of computer technologies, whether in the lab, classroom, library, or even school hallway, delimits and shapes the ways in which teachers talk about and make use of computers in their schools. As with the distribution of and access to any kind of resource, the distribution and organization of computers has an impact on the frequency and quality of teachers’ integration/implementation efforts. We focus on three case studies that highlight how the structuring and re-structuring of space in schools can be a significant factor in whether and how this technology is used by teachers and students.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.039
GPT teacher head0.303
Teacher spread0.264 · 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