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Record W4221039608 · doi:10.5539/ies.v15n1p210

A Mission Statement Does Not a Mission Make: A Mixed Methods Investigation in Public Education

2022· article· en· W4221039608 on OpenAlexvenueno aff
David C. Coker

Bibliographic record

VenueInternational Education Studies · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMission statementThematic analysisConformityQualitative researchPedagogyPsychologySociologyMultimethodologyPublic relationsPolitical scienceSocial psychologySocial science

Abstract

fetched live from OpenAlex

Public schools widely use mission statements, and many educational administration programs teach mission statements as a necessary lever for school improvement. A mixed methods investigation examined three levels. An experiential phenomenological analysis examined graduate students’ experiences with mission statements within their own schools and professional life. A thematic analysis examined 80 schools in the Midwestern United States, broken down by high and low performance on state academic testing, ecological differences, quantitative structures of the mission statement, and qualitative themes and dimensions. A meta-synthesis compared findings with previous research. There were structural differences in mission statements, but the conclusion was mission statements were a legacy practice which served the political spectacle, and practitioners adopted the practice out of conformity. There was no direct evidence mission statements achieved the stated purpose. Recommendations were made to refashion mission statements and the school improvement process around four factors.

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)0.001
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 score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.076
GPT teacher head0.389
Teacher spread0.313 · 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 designNot applicable
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

Citations5
Published2022
Admission routes1
Has abstractyes

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