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Record W2513939269 · doi:10.17471/2499-4324/891

P-learning’s unwelcome legacy

2016· article· en· W2513939269 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.

Bibliographic record

VenueAUSpace (Athabasca University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsAthabasca University
Fundersnot available
KeywordsEmbodied cognitionDominance (genetics)Context (archaeology)ScalabilityMathematics educationSociologyComputer scienceEpistemologyPedagogyKnowledge managementPsychologyArtificial intelligenceGeography

Abstract

fetched live from OpenAlex

Formal teaching of adults has evolved in a context de ned, initially, by the constraints of physical boundaries. Classroom walls directly entail timetables, norms and rules of behaviour, social segregation into organized groups and, notably, the course as a fundamental unit of instruction. Our adult education systems are well adapted to provide ef cient and cost-effective teaching within those boundaries. Digitally embodied boundaries are far more uid, open, permeable, scalable, metaphorical and fuzzy.
\nThis has helped to drive the increasing dominance of e-learning in intentional informal learning and yet methods that emerge from physical boundaries dominate institutional e-learning, though they are a poor t with the media. This paper is an exploration of the implications of the removal of physical boundaries to online pedagogies, many of which challenge our most cherished educational foundations and assumptions.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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