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Record W2158946464 · doi:10.24908/eoe-ese-rse.v8i0.581

Toward a Re-thinking of Mass Public Schooling: A Personal Exploration

2008· article· en· W2158946464 on OpenAlexaffvenue
LeRoy E. Whitehead

Bibliographic record

VenueEncounters in Theory and History of Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsBureaucracyIndustrial RevolutionPolitical scienceIndustrial societyCritical mass (sociodynamics)Mass educationSociologyPublic administrationPublic relationsPolitical economySocial scienceHigher educationLaw

Abstract

fetched live from OpenAlex

Mass public schooling as we know it was one result of the industrial revolution. Its organizational form was heavily influenced by the ‘code’ of industrialism, the scientific management movement and industrial bureaucracy. While the promise of the philosophy underlying the use of the bureaucratic form in social institutions is tempting, the literature of bureaucracy indicates that bureaucratic organizations are most successful when certain preconditions are met, less successful when they are not. These preconditions are increasingly absent from our schools, school systems and the environment in which they operate. Hence, the bureaucratic form is increasingly counter-indicated, and its continued use may be a contributing factor in what appears to be a growing level of dissatisfaction with the system and dysfunction in the system. By recognizing a distinction between the terms ‘education’ and ‘schooling’ we may be able to move beyond mass public schooling to a situation in which the public is well-educated. Key words: bureaucracy and schooling, education and schooling, school organization

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.045
Scholarly communication0.0120.014
Open science0.0010.005
Research integrity0.0040.008
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 head0.170
GPT teacher head0.356
Teacher spread0.185 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2008
Admission routes2
Has abstractyes

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