MétaCan
Menu
Back to cohort
Record W2948876954 · doi:10.46827/ejes.v0i0.2466

MANAGING PROFESSIONALISM IN TEACHER EDUCATION: ISSUES OF TEACHER IDENTITY DEVELOPMENT IN CAMEROON

2019· article· en· W2948876954 on OpenAlexaff
Ndame Thomas

Bibliographic record

VenueOpen Access Publishing Group - European Journal of Education Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIdentity (music)Context (archaeology)Identity formationProcess (computing)SociologyPerspective (graphical)PedagogyPhenomenonTeacher educationProfessional developmentMathematics educationEpistemologyPsychologySelf-conceptSocial scienceComputer scienceGeography

Abstract

fetched live from OpenAlex

This paper explores different dimensions that interplay in the process of teacher identity development in the context of Cameroon. Since the concept of identity is multifaceted and its formation process is continuously changing, this work attempts to examine it from many dimensions. Firstly, from general perspective, secondly with emphasis on specific perspectives embodying personal, self, educational and professional identities that constitute, shape and influence the formation of teacher identity and thirdly, constraints that impede its development including their overall implication for schooling, learning and the entire education system. In order to explore, understand and appreciate this discourse on teacher identity formation which underlie the foundation and driving force in a national education system, this paper attempts to raise some questions. What is teacher identity and how is it formed? What is teacher identity in Cameroon context? What are the constraints in its formation process? How do the constraints impact on schooling/learning and the education system? Answers to these questions and some suggestions help to illuminate the phenomenon and its utility in both national and international perspectives. Article visualizations:

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.013
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.111
GPT teacher head0.475
Teacher spread0.364 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueOpen Access Publishing Group - European Journal of Education StudiesSame topicGlobal Educational Policies and ReformsFrench-language works237,207