Exploring the concept of place in the literature on smallholder farmers and climate change adaptation in Sub-Saharan Africa
Bibliographic record
Abstract
This critical review paper expands on the meaning of place. It opens a new narrative on how the geographic concept of place is conceptualized in smallholder farmers and climate change adaptation literature in Sub-Saharan Africa. The review suggested that place is not only the ‘where’ of a location but a location geographically connected and interdependent to illustrate how smallholder farmers’ experiences in adapting to climate shocks interact with global efforts such as improving food security, eliminating poverty and building sustainable rural livelihood. Through the various climate change adaptation strategies exhibited by different farmer groups, the paper demonstrated that people in places have the agency to make choices that control their destinies irrespective of whatever global force overwhelms them. The paper argues sense of place expressed through ecological place meaning shapes people’s intuition, beliefs, actions and experiences as illustrated by smallholders’ perception of the determinant and barriers to effective adaptation strategies. The ecological place meaning also influences the ‘glocalization’ of climate impact on agroecological-based livelihoods at different locations and how maladaptive outcomes are perceived. Place gives people identity by (re)shaping actions and experiences and vice versa. There is an undeviating relationship between power, place and people’s experience. Further exploration of the relationship between lifeworld experiences, people, and power is central in understanding the meaning of place in smallholder farmers and climate change interaction.
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 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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".