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Record W4412354874 · doi:10.55016/ojs/ajer.v57i4.55530

A Qualitative Analysis of the Coping Strategies of Substitute Teachers

2012· article· en· W4412354874 on OpenAlexvenueno aff
Matthew S. Vorell

Bibliographic record

VenueAlberta Journal of Educational Research · 2012
Typearticle
Languageen
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCoping (psychology)PsychologyQualitative researchQualitative analysisMathematics educationEducational researchPedagogySociologyClinical psychologySocial science

Abstract

fetched live from OpenAlex

This study distinguishes whether substitute teachers enact coping strategies that mitigate the source of work-related stress (problem-centered) or coping strategies that enable them to adapt to stress created by work-related stressors (avoidance-centered). The author gathered data for this analysis by conducting 37 in-depth interviews with substitute teachers and shadowing 14 of them for a total of 122 hours of observation. Through a grounded theory analysis, a trend emerged that showed substitute teachers engaged in both problem-centered and avoidance-centered coping strategies, with a slight numerical advantage given to problem-centered strategies. By understanding how substitute teachers deal with these issues, scholars can prepare future generations of substitute teachers with successful coping strategies. Cette étude évalue dans quelle mesure les suppléants ont recours à des stratégies d’adaptation qui atténuent la source de stress professionnel (axées sur les problèmes) ou à des stratégies d’adaptation leur permettant de s’adapter au stress créé par des stresseurs liés au travail (axées sur l’évitement). L’auteur a collecté les données pour cette analyse en passant des entretiens en profondeur avec 37 suppléants et en observant 14 de ceux-ci pendant un total de 122 heures. Une analyse fondée sur une théorie à base empirique a révélé que les suppléants ont tendance à adopter tant des stratégies d’adaptation axées sur les problèmes que celles axées sur l’évitement, les premières affichant un léger avantage numérique. Si on comprend les mécanismes d’adaptation des suppléants, les formateurs peuvent fournir des stratégies d’adaptation valables aux générations de suppléants à venir.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.227
GPT teacher head0.572
Teacher spread0.345 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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