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Introduction to Organization, Leadership, and Change in ODDE

2022· book-chapter· en· W4307022313 on OpenAlex
Ross Paul

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

VenueHandbook of Open, Distance and Digital Education · 2022
Typebook-chapter
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsContext (archaeology)Political scienceTheme (computing)Public relationsManaging changePerceptionSociologyPsychologyGeographyComputer science

Abstract

fetched live from OpenAlex

Abstract This chapter provides an overview of the 11 other chapters in Section III of the Handbook which address issues of Organisation, Leadership and Change. It pays particular attention to the impact of the Covid-19 pandemic on perceptions of ODDE, noting both the benefits of the greatly enhanced international interest in on-line learning and the negative perceptions associated with its misuse during the sudden demand for emergency remote teaching in conventional educational institutions. It envisions a blurring of distinctions between conventional and ODDE institutions with consequent opportunities for the latter. While these issues are pursued through various perspectives in the Section III chapters, there is a unifying theme of the critical importance of institutional leadership throughout and a concomitant focus on how leadership has to change in a rapidly evolving international context. The chapter envisions a bright future for ODDE but only if critical issues of institutional leadership are addressed and if those leading conventional institutions are made aware of the research and experience emanating from the established ODDE sector.

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: Other · Consensus signal: Other
Teacher disagreement score0.906
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.097
GPT teacher head0.387
Teacher spread0.290 · 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