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Reconsidering Maslow and the hierarchy of needs from a First Nations’ perspective

2022· article· en· W4385508532 on OpenAlexaffabout
Elder Roy Bear Chief - Oom Kapisi, Peter Choate, Gabrielle Lindstrom

Bibliographic record

VenueAotearoa New Zealand Social Work · 2022
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsMount Royal University
Fundersnot available
KeywordsMaslow's hierarchy of needsConstruct (python library)HierarchyPerspective (graphical)SociologyEpistemologyPsychologySocial psychologyPolitical scienceLawPhilosophyComputer science

Abstract

fetched live from OpenAlex

INTRODUCTION: Abraham Maslow created one of the most enduring psychological constructs, the hierarchy of needs. Maslow, himself, did not create the oft-shown pyramid but it is the image that comes to mind when the construct is mentioned. There have also been reports that Maslow’s work fails to give due credit to the Blackfoot peoples of Southern Alberta for their seminal contribution to the hierarchy. There is a vibrant debate in the literature and in public spaces regarding this. Such a debate may not matter as Maslow’s construct does not represent Blackfoot philosophy. Hierarchical needs of understanding are not representative of their world view and the place of self-actualisation is very contrary to Maslow’s understanding. Maslow’s own writings do not support the notion that Blackfoot knowledge influenced him greatly in respect of the construct. In concert with the Elder knowledge keeper in the project, we explore the history of Maslow and the Blackfoot people along with knowledge held by Elder wisdom. APPROACH: The article concludes by suggesting that Blackfoot ways of knowing represent their own views and that Maslow’s hierarchy has never been their understanding. IMPLICATIONS: Social workers are, thus, invited to critically assess the theories used in practice and their relevance and validity for the populations engaged in their work.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.342
Teacher spread0.274 · 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 designQualitative
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

Citations15
Published2022
Admission routes2
Has abstractyes

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