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Historical and Contemporary Impact of Joseph J. Schwab

2022· reference-entry· en· W4283010939 on OpenAlexaboutno aff
Cheryl J. Craig

Bibliographic record

VenueOxford Research Encyclopedia of Education · 2022
Typereference-entry
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipCurriculumCurrencyPolitical scienceSociologyPedagogyMathematics educationLawPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract The cumulative research of Joseph J. Schwab contributed to undergraduate education, Jewish education, and secondary school science reform in addition to curriculum deliberations approached through his “Practical” papers, which were intended to mend the theory-practice divide. Schwab’s contributions to education have resulted in his continuing recognition as a leading curriculum figure. His career path features successes and challenges he faced, most often through the experiences and in the voices of those surrounding him. Six fine-grained exemplars from contemporary international research programs instantiate how Schwab’s scholarship continues to exert a major influence in the field. There are representative projects, chapters, and articles that represent Schwab’s ideas for (a) their currency (2010–2020), (b) their adequacy as Schwab-informed approaches, and (c) their ability to go beyond the simple exchange of research findings, which Schwab abhorred. The exemplars revolve around “The Practical” (Canada, China, Israel), Eros and education (U.S.), acts of teaching (U.S.), and connections among “The Practical,” Confucianism, and the German Didaktik (Singapore, U.K.) in addition to serial interpretation (U.S.). These robust exemplars originate with the research of students of Schwab, students of students of Schwab, national and international research teams and/or those who came to know his contributions and impact through the literature. Why Schwab’s scholarship has not been disseminated comprehensively has to do with its particularity and the challenge of generalizing approaches that were never intended to be prescriptions for large populations. Other obstacles include the fact that Schwab was ahead of his time. He defended what could be learned from practice and practitioners and vehemently opposed straight-laced forms of accountability and outcomes-based research.

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)0.004
metaresearch head score (Gemma)0.009
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.012
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.109
GPT teacher head0.429
Teacher spread0.321 · 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
GenreOther

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

Citations2
Published2022
Admission routes1
Has abstractyes

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