The Epistemology and Ontology of School Counselling in a Colonial Ethnocentric Education System
Bibliographic record
Abstract
This paper critiques the politics of Israeli school counselling and the values underlying this profession in a settler-colonial context. It addresses the research question: How do economic, sociocultural, and political forces shape Israeli school counselling? Deploying post-structural frameworks of power/knowledge, as well as postcolonial and decolonial thoughts, we conduct a discourse analysis of the Israeli school counselling profession, unpacking its ideologies and functions in a settler-colonial region. Using Foucauldian genealogy as a methodology, we analyse ninety-four interdisciplinary archival documents, historical incidents, and policies to uncover the political-economic values and morality embedded in school counselling. Our findings reveal that settler-colonial practices and Zionist political-economic interests have shaped the profession, turning school counsellors into subsidiary authorities that perpetuate Zionist ideology and justify colonisation through mental health interventions. In conclusion, this research illuminates that Israeli school counselling is not a culturally neutral or universally beneficent profession but, instead, a paradigmatic case of how mental health professions can be instrumentalised by the state to further colonial and ethnonationalist agendas. Additionally, this study highlights the importance of critiquing the political-economic agendas that influence professional institutions, educational and mental health leadership roles, and their broader societal implications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.076 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".