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Record W4307350994 · doi:10.1177/0013161x221132837

Time Demands and Emotionally Draining Situations Amid Work Intensification of School Principals

2022· article· en· W4307350994 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducational Administration Quarterly · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversity of ManitobaWestern UniversityUniversity of British Columbia
Fundersnot available
KeywordsPsychologyWork (physics)Ordered logitPaceFeelingContext (archaeology)Social psychologyApplied psychology

Abstract

fetched live from OpenAlex

Emotion is central to principals’ daily operation of schools. As principals’ work is intensifying, principals are increasingly encountering emotionally charged situations on a daily basis. This article uses data from a large provincial survey to explore what time demand factors contribute to these emotionally draining situations that principals are experiencing in the context of work intensification. An ordinal logit regression that is commonly employed for the analysis of ordinal categorical data was used for data analysis. The findings reveal that the time demands, such as the fast work pace, long work hours and lack of time, all work in concert to increase the likelihood of emotionally draining situations among school principals. As principals try to manage emotional situations, these contributing factors are far beyond their control. The unmanageable time demands can leave principals feeling frustrated and vulnerable and evoke negative emotions that adversely impact their own well-being as well as their schools.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.345
Teacher spread0.311 · 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