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Record W4412612343 · doi:10.1007/978-3-031-89568-5_10

From the Ottawa Charter to Planetary Health

2025· book-chapter· en· W4412612343 on OpenAlexaboutno aff
Jake Sallaway‐Costello, Claudia Meier Magistretti, Bengt Lindström

Bibliographic record

VenueSpringerBriefs in public health · 2025
Typebook-chapter
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsCharterPolitical scienceLaw

Abstract

fetched live from OpenAlex

The application of salutogenesis in health promotion practice and policy has a history of partial but evolving realisation. Following Antonovsky’s advocacy of the use of these ideas in public health, social movements and global strategies have had varying degrees of success of implementing salutogenic perspectives. Starting with feminist health promotion activism in the 1970s, this chapter explores the translation of salutogenic principles into the Health for All movement (1981). We then explore the development of the Ottawa Charter for Health Promotion (1986), the Millennium Development Goals (2000) and the Sustainable Development Goals (2015) in the context of salutogenesis. As the field and practice of health promotion evolved, so too did the implementation of salutogenic concepts in global development strategies. We end the chapter with a conceptual and practical introduction to the current and evolving planetary health paradigm, reflecting that the participatory vision of feminists in the 1970s is becoming realised through a new process of “planetary salutogenesis.” Through acts of joyful creation, a diverse range of voices are now shaping the health promotion and global development agenda, through a form of salutogenic dialogue of meaningful interactions between groups and nations, towards common planetary goals.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.267
Threshold uncertainty score0.531

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.025
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0170.004

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 head0.080
GPT teacher head0.405
Teacher spread0.325 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2025
Admission routes1
Has abstractyes

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