MétaCan
Menu
Back to cohort
Record W2913905446 · doi:10.37074/jalt.2018.1.2.3

Modernised learning delivery strategies: The Canada School of Public Service technology integration project

2018· article· en· W2913905446 on OpenAlexaffabout
Stephen Downes

Bibliographic record

VenueJournal of Applied Learning & Teaching · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMandateService delivery frameworkService (business)Set (abstract data type)Key (lock)Order (exchange)Knowledge managementBusinessProcess managementEngineering managementComputer sciencePublic relationsEngineeringMarketingPolitical science

Abstract

fetched live from OpenAlex

The Canada School of Public Service (CSPS) leadership expressed a desire to modernise online programme development and delivery in order to more effectively meet the School’s mandate. We conducted a review of modernised online programme development and delivery strategies, evaluated the School’s current progress against those strategies, and recommended an integrated set of proposed activities that would augment online presence for learners, identify and deliver key learning and performance support needs, increase the effectiveness of online CSPS programs and services, integrate online CSPS services with those from other departments, and implement continuous review and improvement for CSPS online services.

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 imitation

Not 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.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.627

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0040.002
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.109
GPT teacher head0.411
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Applied Learning & TeachingSame topicEvaluation and Performance AssessmentFrench-language works237,207