MétaCan
Menu
Back to cohort
Record W2134925522 · doi:10.1177/1741143209334579

Struggling for Democracy

2009· article· en· W2134925522 on OpenAlexaff
James J. Ryan, Cindy Rottmann

Bibliographic record

VenueEducational Management Administration & Leadership · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversity of TorontoInstitute for Christian Studies
Fundersnot available
KeywordsDemocracyBureaucracyPublic relationsContext (archaeology)Work (physics)Vulnerability (computing)Power (physics)SociologyOrder (exchange)PedagogyPower structureParticipative decision-makingPolitical scienceEthnographyBusinessEngineeringPoliticsLaw

Abstract

fetched live from OpenAlex

This article describes a study that explores efforts to promote democratic practice in a diverse school context. More specifically, it documents administrative endeavors to include members of the school community—teachers, parents and students—in the various school processes by encouraging inclusive communicative practices. The findings of the study indicate that administrators attempt to achieve such ends by establishing relationships with members of their school community that will enable dialogue. They do their best to display their caring natures, vulnerability and senses of humor. They also make themselves visible and approachable, work on greeting people, understanding them and dismantling the hierarchies that exclude people. In the end, however, their efforts fail to foster meaningful democratic and inclusive practices. Administrators in the study end up bypassing democratic options and drawing on the hierarchical power associated with the bureaucratic system in which they work in order to ensure that the school will be able to attract students in the quasi-market system in which it operates.

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)0.010
metaresearch head score (Gemma)0.018
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: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0240.019
Scholarly communication0.0130.012
Open science0.0010.013
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0110.002

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 head0.270
GPT teacher head0.435
Teacher spread0.166 · 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
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

Citations31
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueEducational Management Administration & LeadershipSame topicTeacher Education and Leadership StudiesFrench-language works237,207