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Record W2998030997

It Takes an Organization to Nurture an Educator

2019· article· en· W2998030997 on OpenAlexaboutno aff
Nadia Ollivierre

Bibliographic record

VenueScholarship@Western (Western University) · 2019
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsNature versus nurturePublic relationsPolitical scienceBiologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

This Organizational Improvement Plan (OIP) uses the transformational and behavioural leadership approaches as lens to transition an organization from the current state of inconsistent course implementation to a future state of consistency. This problem of practice is situated in an area in Canada that inhabits families with children six to twelve years of age. The relevancy of the problem affects the organizational credibility with community members and senior and middle managements’ accountability for the lack of consistency from frontline staff. Lecturers’ dispositions, positionality and experience were identified as factors that influence the ability to dislodge beliefs, make necessary changes and establish a new belief systems and processes. ADKAR and Stage Theory of Change were change management models utilized to move the organization forward and establish solutions for an improvement plan. Recruitment and selection, professional development and performance management are solutions that were explored to reinforce the consistent implementation of a child development course. Professional development was reviewed extensively to determine timelines for the change process and the organizational roles and responsibilities for oversight and progress 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.007

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 head0.120
GPT teacher head0.404
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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