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Record W28984576 · doi:10.11575/ajer.v47i1.54840

Assessing Aspects of Professional Collaboration in Schools: Beliefs Versus Practices

2009· article· en· W28984576 on OpenAlexaboutno aff
Pauline Leonard, Lawrence Leonard

Bibliographic record

VenueUniversity of Calgary · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNormativeDiversity (politics)PerceptionValue (mathematics)PsychologyProfessional developmentPedagogySociologyMathematics educationPolitical science

Abstract

fetched live from OpenAlex

Much has been written about the potential of professional collaboration to advance the purposes of schooling, yet much remains to be learned about the extent to which teachers themselves value such practices. This article reports the findings of a survey questionnaire completed by 565 randomly selected classroom teachers in 96 school districts in Western Canada. Using selected dimensions of organizational culture as the basis of inquiry, the researchers investigated teachers' perceptions regarding collaborative activities, diversity in education, the usage of teacher time, and the nature of professional relationships. Comparisons of teachers' espoused beliefs with impressions of actual conditions and circumstances in their schools reaffirmed some popular conceptions about the potential for high-involvement schools to realize educational goals. However, they also showed that teachers continue to wrestle with conflictual circumstances arising from the confluence of their own aspirations, the expectations of others, and the continuing limitations that severely curtail the realization of normative learning communities.

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)0.013
metaresearch head score (Gemma)0.042
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.042
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.116
GPT teacher head0.417
Teacher spread0.301 · 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

Citations37
Published2009
Admission routes1
Has abstractyes

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