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Record W2099212878 · doi:10.1177/0895904800014003003

The Other Side of the Equation: Professional Development and the Organizational Capacity of Teacher Unions

2000· article· en· W2099212878 on OpenAlexaboutno aff
Nina Bascia

Bibliographic record

VenueEducational Policy · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Practices and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)SocializationDemographicsPerceptionProfessional developmentPublic relationsSociologyOrganisation climateOrganization developmentStructural equation modelingPolitical sciencePedagogyPsychologySocial science

Abstract

fetched live from OpenAlex

This article describes three different types of professional development provided by teachers organizations in the United States and Canada. Drawing from 10 years of conceptual and empirical research on teacher union reform activities, on teachers' perceptions of unions, and on teachers' union involvement, it identifies strategies for improving the fit between professional development and teachers occupational needs. The article emphasizes sociological and organizational factors germane to teachers organizations themselves: their role in teacher socialization, the demographics of teacher organization participation, and internal structural features. It suggests that teachers organizations should look within at a variety of organizational issues and consider a variety of organizational strategies simultaneously.

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)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.018
Scholarly communication0.0060.012
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0210.002

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 head0.043
GPT teacher head0.367
Teacher spread0.324 · 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 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

Citations49
Published2000
Admission routes1
Has abstractyes

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