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Record W2794681869

Addressing the Challenges of Being a Teacher Activist: A Phenomenological Study of Pre-Service Teachers who are Passionate about Environmental Education

2017· article· en· W2794681869 on OpenAlexaffvenueabout
Rachelle Campigotto, Sarah Elizabeth Barrett

Bibliographic record

VenueCanadian journal of environmental education · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsYork University
Fundersnot available
KeywordsHumanitiesEnvironmental educationPolitical scienceSociologyPedagogyArt
DOInot available

Abstract

fetched live from OpenAlex

Ontario, Canada mandates integrating environmental education (EE) into all sub-ject areas from K-12, but pre-service teachers receive little to no instruction on how to do so. This study focusses on the experiences of 13 pre-service students who demonstrated their passion for EE through their own activism and volun-teerism. Findings include the participants’ definition of activism, lack of acknowl-edgement of activist experiences within the program, and participants’ worries about being positioned as radical. Further, participants expressed a need for sup-port, space, and time within the pre-service program to discuss these experiences and share ideas and resources within the teacher community. Suggestions to aug-ment teacher education programs and for further research are provided. -- Resume L’Ontario integre l’education a l’environnement a toutes les matieres de la maternelle a la 12e annee, mais les enseignants en formation ne recoivent que peu ou pas d’instruction a cet egard. Cette etude relate les experiences de 13 etudiants en enseignement qui ont montre de l’interet pour la cause environnementale en s’impliquant dans leur communaute. Ils nous font notamment part de leur definition de l’activisme, du peu de reconnaissance que cette experience recoit au sein du programme, et de leur crainte d’etre etiquetes comme radicaux. En outre, ces etudiants aimeraient etre epaules et profiter de plus de temps et d’espace pour partager leurs experiences, idees et ressources avec leurs pairs. Les auteures offrent des suggestions pour ameliorer les programmes de formation des enseignants et orienter les recherches futures.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.294
Teacher spread0.259 · 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 teacher head, not a consensus.

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

Citations2
Published2017
Admission routes3
Has abstractyes

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