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Record W7029100891

Introducing a Revenue-Generating Program: A Post-Compulsory Cinderella Story

2022· article· en· W7029100891 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAppreciative Inquiry and Organizational Change
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)AccreditationRevenueCitizen journalismHigher educationStrategic planningConstitutional amendmentPlan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

In 2015 the Ontario provincial government implemented an amendment to Regulation 347/02: Accreditation of Teacher Education Programs. This amendment resulted in the move from a two-semester program to a four-semester program with a commensurate reduction in funding from 2.0 to 1.5 for BEd students, effectively moving them from 1.0 FTE funding to 0.75. The introduction of the amendment coincided with the move to a Responsibility Centred Management approach to funding across South Central University. Hence, the reduction in funding was coincident with greater devolved responsibility for fiscal management at a departmental and faculty level. The Teacher Education Stream (TES) program was introduced at an undergraduate level as a new revenue stream into the School of Education to overcome the fiscal deficit due to policy changes at both the provincial and institutional level. The introduction of the TES program represents something of an enigmatic juxtaposition; the rationale for the introduction of the program was the market-driven pressure of a neoliberal shift in provincial and university governance, yet the TES is predicated on discourses of equity, inclusion, and social justice. The TES program was introduced quickly as a result of fiscal necessity. There was limited consideration given to the potential consequences of the implementation, embedding, and expansion of the program. This lack of strategic planning gives rise to the Problem of Practice addressed within this Organizational Improvement Plan. Wayfinding leadership and appreciative inquiry inform the plan for change, which is further elaborated through Lewin’s three-step model and monitored through participatory evaluation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.001
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 head0.082
GPT teacher head0.288
Teacher spread0.206 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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